[FCO] UDACITY - Robotics Software Engineer v1.0.0

磁力链接/BT种子名称

[FCO] UDACITY - Robotics Software Engineer v1.0.0

磁力链接/BT种子简介

种子哈希：fca3c4f8a47c4f2d3c2d66f3b214ee25fb364d68
文件大小： 4.41G
已经下载：1950次
下载速度：极快
收录时间：2021-03-07
最近下载：2025-09-04

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:FCA3C4F8A47C4F2D3C2D66F3B214EE25FB364D68
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 她趣 TikTok成人版 PornHub 听泉鉴鲍 草榴社区 哆哔涩漫 呦乐园 萝莉岛

最近搜索

文件列表

  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/10. Interview with Andra Keay, Director, Silicon Valley Robotics-VIvwKso4_sA.mp4 223.4 MB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/12. Interview with Cory Kidd, founder and CEO of Catalia Health-FEdQ23jNnio.mp4 218.0 MB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/14. Interview with Kaijen Hsiao, CTO of Mayfield Robotics-HtVyTo-s6Fs.mp4 197.8 MB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/03. Biologically Inspired Robots-4Gd-tkG16vo.mp4 86.8 MB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/05. Controls-6oBw9MLFqok.mp4 67.8 MB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/04. Vision-ovWPxbwkTGA.mp4 67.2 MB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/09. Swarm Robotics Podcast-nKMp5tyM_rs.mp4 52.2 MB
  • Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/16. 04 Soft Robotics And Food-P7c-c4O4GGA.mp4 45.5 MB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/12. 04 Soft Robotics And Food-P7c-c4O4GGA.mp4 45.5 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/12. Motion Planning Engineer Interview-BAD3ijRnZ0U.mp4 41.1 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/15. 05 Soft Robotics Process-3FJ5mXcBHwM.mp4 39.7 MB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/11. 05 Soft Robotics Process-3FJ5mXcBHwM.mp4 39.7 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/20. Soft Robotics with Rajat Mishra-F_k2ZtUxvPE.mp4 35.9 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/13. 02 Materials And Actuators-2H8rIBcDOr4.mp4 35.4 MB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/10. 02 Materials And Actuators-2H8rIBcDOr4.mp4 35.4 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/17. 06 State And Future Of Soft Robotics-nNcIRmtTyek.mp4 35.3 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/22. Miura Ori HS V3-bNFtPHYuODY.mp4 35.0 MB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 01-Module 01-Lesson 02_What is a Robot/01. What Is A Robot-MooPT63kaMc.mp4 33.5 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/10. Deep Learning Engineer Interview-EcIwpFM-UYQ.mp4 30.2 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/16. Control Engineer Interview-6Wi9HBIXcpg.mp4 29.9 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/14. 03 Soft Robotics Profile-927eDRsVySE.mp4 29.2 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/18. My Project-bGw6DLQohCE.mp4 27.8 MB
  • Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network-GgtR_d1OB-M.mp4 26.9 MB
  • Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
  • Part 01-Module 01-Lesson 01_Welcome/02. Meet Your Instructors-3Zp2ukfskyE.mp4 25.9 MB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/03. Term 2 Objectives-dnAa2z6Zflw.mp4 24.7 MB
  • Part 03-Module 01-Lesson 02_Project Details/07. KUKA Project Walkthrough Video-eB_l8Azxykg.mp4 24.4 MB
  • Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/rover-autonomous-example-1.gif 22.8 MB
  • Part 02-Module 02-Lesson 01_Inference Development/02. Nvidia DIGITS-r-GkoqePIys.mp4 22.1 MB
  • Part 02-Module 05-Lesson 04_Deep RL/06. Fixed Q Targets-SWpyiEezfp4.mp4 22.0 MB
  • Part 01-Module 12-Lesson 08_Term 1 Outro/01. Term 1 Outro V2-YHlnUpIgWTc.mp4 21.9 MB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/12. 01 Intro-Career 1-ZLwtRdZYORg.mp4 21.4 MB
  • Part 02-Module 05-Lesson 02_RL Basics/22. Policies-hc3LrvaC13U.mp4 21.2 MB
  • Part 01-Module 01-Lesson 01_Welcome/01. The World of Robotics-J_lXNPRIwag.mp4 20.4 MB
  • Part 01-Module 07-Lesson 01_Perception Overview/01. Perception And Robotics--bJTOygkGPw.mp4 19.8 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/orbit-2-1.gif 19.0 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/06. Robot Uncertainty-5NAb2iyu2uo.mp4 18.9 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/06. Robot Pose EKF Package-1XW1VtpztGE.mp4 18.7 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/spinning-rover.gif 18.6 MB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/01. Localization in Robotics-AcZY7n8XPZo.mp4 18.6 MB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4 18.2 MB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/01. Introduction-qAitoH9xVl8.mp4 17.3 MB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/04. Term 2 Outline-AD3LDaDhJ5Y.mp4 17.2 MB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges-J_ggwD8zip0.mp4 16.4 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/req-challenge.gif 16.3 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/11. RQT Multiplot-ZEpVMvXC6jQ.mp4 16.2 MB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/lidar.gif 16.1 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/02. Sensor Fusion-Uc_MUK_olJk.mp4 15.7 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/15. 14 Rover Controls-c5Rt94YyQm0.mp4 15.6 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/05. TurtleBot Gazebo Package-huR9KRtmNAM.mp4 15.5 MB
  • Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.mp4 15.5 MB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/02. Jetson Overview-i56qM6NNW9A.mp4 15.3 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/fps-2-1.gif 15.1 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/09. Designing 1D Kalman FIlter-5YChifc8z1M.mp4 15.1 MB
  • Part 02-Module 05-Lesson 02_RL Basics/14. Discounted Return-opXGNPwwn7g.mp4 15.0 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/15. C2L2 A15 V3-K-FobmdRMtI.mp4 14.8 MB
  • Part 03-Module 01-Lesson 01_Project Introduction/02. Udacity Robot Learning Lab MHS Update-MThf6RUd3Gw.mp4 14.7 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/02. What's A Kalman Filter-Cd5KKT7PfdE.mp4 14.6 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/01. Introducing Luis!-Oc1dUU2fa2g.mp4 14.5 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/14. Mapping and Localization Engineer Interview-rdVJZg4NJtc.mp4 14.4 MB
  • Part 02-Module 08-Lesson 01_Completing the Program/01. Congratulations!-ZuW_UQrH9EI.mp4 14.4 MB
  • Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/01. Introduction-AwjP4ABJjoo.mp4 13.7 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/14. 14 Ros Nodes-l4N0ToiDm9U.mp4 13.5 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/07. Kalman Filter Advantage-thwTZvbzAgk.mp4 13.4 MB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/04. Jetson Setup-OY41LEFi5_A.mp4 13.4 MB
  • Part 02-Module 02-Lesson 01_Inference Development/01. Overview-DrRsTUzqweM.mp4 13.1 MB
  • Part 01-Module 07-Lesson 05_Object Recognition/04. Color Spaces-6WPGx4WAkZw.mp4 13.1 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/05. Job Descriptions-mMlV_tludkw.mp4 12.9 MB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/06. Transistor Switch Circuit-1PjhInEigOM.mp4 12.7 MB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/02. What's MCL-RiFI2VzSFp8.mp4 12.4 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/topdown-2-1.gif 12.4 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/select-tool-2-1.gif 12.3 MB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/02. Term 2 Introduction-k1DHTEh4qVw.mp4 12.2 MB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/03. Overview-NV1j739Tlw8.mp4 12.1 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/16. Introduction to EKF-dwpKthaQ6ts.mp4 11.9 MB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/03. LED Circuit-LpljUGQJkh0.mp4 11.8 MB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/04. Breadboard-UAY8HtXyzQ0.mp4 11.7 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/13. 13 External Library-cC_14mJUw78.mp4 11.3 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/14. Intro to Multidimensional KF-9Xb5WavDqKE.mp4 11.2 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/21. Final Thoughts-occ46iYHJ4I.mp4 11.1 MB
  • Part 01-Module 01-Lesson 01_Welcome/03. Projects You Will Build-inT5Ns2DvAs.mp4 10.9 MB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 01 行动者-评论者方法 RENDER V1 V1-FXhyxJzgt8U.mp4 10.9 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/07. Importance Weight-MPJVPvjruZo.mp4 10.7 MB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/01. Term 2 Handoff-2LWpsXSUATE.mp4 10.7 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/02. Intro to Neural Networks-mZcMUcJVcqY.mp4 10.7 MB
  • Part 01-Module 01-Lesson 04_Career Support Overview/03. Meet the Careers Team-cuKecPpZ7PM.mp4 10.6 MB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/02. Intro To Kinematics-IGnXJvLCco8.mp4 10.6 MB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/01. Introduction-xMmMFhMoS8M.mp4 10.6 MB
  • Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4 10.6 MB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.mp4 10.5 MB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/03. GPIO-5kBPBKjtWsQ.mp4 10.5 MB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 10.5 MB
  • Part 02-Module 05-Lesson 02_RL Basics/13. Cumulative Reward-ysriH65lV9o.mp4 10.4 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/01. Introduction-Z7tgQBESh7A.mp4 10.4 MB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/04. Particle Filters-flFKViJI-18.mp4 10.3 MB
  • Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.mp4 10.1 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 10.1 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/08. Perception Engineer Interview-jvJBciGU5o0.mp4 10.0 MB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/03. SLAM-CagI0msfEjc.mp4 10.0 MB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/01. Overview-Jn6pk-A2KXw.mp4 10.0 MB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/03. Picking Your Robotic Inference Idea-gDfTPZUD8dE.mp4 9.9 MB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/08. Principal Types Of Serial Manipulators-_i2g68BdrO0.mp4 9.8 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/07. Perspective Transform-DQUkU-VaMXI.mp4 9.7 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/01. Overview of the Project-c7q2IJntS1g.mp4 9.7 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.mp4 9.6 MB
  • Part 01-Module 07-Lesson 05_Object Recognition/08. Surface Normals-pHnb_VgjZN0.mp4 9.5 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. Building an Earthworm Robot-34HvCniBTIA.mp4 9.5 MB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 9.4 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/20. RSEND T1P2 W Part 3 V2-0e-X7rPxRyM.mp4 9.1 MB
  • Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.mp4 8.9 MB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/02. Battery-c4LQLIB-WYc.mp4 8.9 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/04. Convolutional Networks-ISHGyvsT0QY.mp4 8.8 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.mp4 8.7 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/moveit-demo.gif 8.7 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/05. Understanding Unified Robot Description Format-7Ot8UURxQdg.mp4 8.7 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/13. Multivariate Gaussian-ih69P0KJgII.mp4 8.6 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/01. 01 L Overview-QgaDYTV4478.mp4 8.6 MB
  • Part 01-Module 07-Lesson 05_Object Recognition/01. Intro To Object Recognition-Sy2Wk-FYSJU.mp4 8.5 MB
  • Part 01-Module 01-Lesson 04_Career Support Overview/02. Design Review-IlXkmoY_8Vw.mp4 8.5 MB
  • Part 02-Module 05-Lesson 02_RL Basics/11. Goals and Rewards, Part 2-pVIFc72VYH8.mp4 8.4 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/09. Resampling Wheel-tYuSA4I09O8.mp4 8.4 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/05. Collection Method1-2djhWHSiYsk.mp4 8.3 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/01. 02 Lesson 08 Outro 1-Lm9Y1Wl9gFY.mp4 8.1 MB
  • Part 02-Module 05-Lesson 02_RL Basics/03. The Setting-nh8Gwdu19nc.mp4 8.1 MB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/01. Intro-9e-v87sKklE.mp4 8.0 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/02. Exploring the Simulator-YWiDvpjyBio.mp4 7.9 MB
  • Part 01-Module 01-Lesson 04_Career Support Overview/01. Careers In Robotics Catalia Health-HS8ALYfDgJw.mp4 7.9 MB
  • Part 02-Module 05-Lesson 02_RL Basics/img/chess-game.jpg 7.9 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/03. Closed-Loop Control-6R5YT5xgYak.mp4 7.9 MB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/02. Downside Of Model Fitting-ouN0KjZZrGY.mp4 7.9 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/01. Overview Of Controls Engineering-NL5e9LsWItQ.mp4 7.8 MB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/01. Overview-duiryUlNVKQ.mp4 7.8 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/04. Front End Vs Back End -mLKwe-AAJc8.mp4 7.7 MB
  • Part 02-Module 05-Lesson 02_RL Basics/05. The Setting, Revisited-V6Q1uF8a6kA.mp4 7.7 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/09. Translation And Rotation-ZVAJmzOk5p4.mp4 7.7 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/31. Neural Networks Wrap Up-1bq6c44nQnU.mp4 7.7 MB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/02. Deep RL in Robotics-IjG_IWJdb1w.mp4 7.6 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/07. Composition Of Rotations-gDROQkL6sdY.mp4 7.6 MB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/01. Swarm Robotics Intro-tn54WOSQDtI.mp4 7.6 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/09. 08 Functions And Data Structures-eVJvHeeirwc.mp4 7.6 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.mp4 7.6 MB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/02. Embedded Examples-GWEaRK6w6LM.mp4 7.5 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/01. Introduction-zya9-JPqkLE.mp4 7.5 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/02. Examples Of Path Planning-uIHSZ6N7Xok.mp4 7.5 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp4 7.5 MB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/01. Overview Of Hardware Lab-ZD8f8OBA5tE.mp4 7.5 MB
  • Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies-2rguYpVyCto.mp4 7.5 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/06. Research The Company-rej_9D0J0-o.mp4 7.4 MB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/01. Introduction-uEt_lRFqtwE.mp4 7.4 MB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/02. Mapping-xHOfiYhhzJ4.mp4 7.4 MB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/03. Lesson Roadmap-Kf5G6Tj1Q5A.mp4 7.3 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/15. SLAM With ROS -APwvoT_w9Cw.mp4 7.3 MB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/08. Point Cloud Filtering-bop3tRyvRxU.mp4 7.3 MB
  • Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/09. 09 L Pick And Place Demo Walkthrough-FWv9YZX3mzE.mp4 7.2 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. 21 CrossEntropy Formula-azXzz_zgiac.mp4 7.2 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/18. 07 Getting Into Soft Robotics-cBmTs79s3HI.mp4 7.2 MB
  • Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4 7.2 MB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/01. Kinematics Lessons Overview-9CqZ4TbGxJE.mp4 7.2 MB
  • Part 02-Module 05-Lesson 02_RL Basics/17. MDPs, Part 2-CUTtQvxKkNw.mp4 7.2 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/10. 10 Classes And Objects-r7hwI_O9SdA.mp4 7.1 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/03. 03 Overview-nJ2xSBmlYHw.mp4 7.1 MB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/01. Introduction-ouAVFq9QJuo.mp4 7.1 MB
  • Part 01-Module 07-Lesson 06_3D Perception Project/11. Outro To Perception Project-uA4bL-oku9k.mp4 7.0 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/04. Applications-EIOqFwzB4j8.mp4 7.0 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/11. Kuka KR210 Forward Kinematics Part 02-CNQ9CE_itBg.mp4 6.9 MB
  • Part 02-Module 05-Lesson 02_RL Basics/29. Action-Value Functions-KJLaRfOOPGA.mp4 6.9 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/02. Robot Class-BBEVf9csMOo.mp4 6.9 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/10. Error-z1pBWLzqqsc.mp4 6.8 MB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/01. Introduction-xCPwny7noOM.mp4 6.7 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/11. Graphing-VVQLjK-_b7o.mp4 6.7 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/08. Resampling-WdW72nTVT8M.mp4 6.7 MB
  • Part 02-Module 02-Lesson 01_Inference Development/07. Recap-oj4ot37OAj4.mp4 6.6 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/16. 16 Challenge!-3xasV08_Nzs.mp4 6.6 MB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/01. Introduction To Probabilistic Path Planning-msgVwQCM2C8.mp4 6.5 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/04. 无人驾驶车介绍：Jupyter Notebook -0-5VG9FsdQ0.mp4 6.5 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/18. Beyond The Ideal Case - Noise-tPRbY3A4qcs.mp4 6.3 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/interact-tool-2-1.gif 6.3 MB
  • Part 02-Module 05-Lesson 02_RL Basics/28. Optimality-j231aRV74QM.mp4 6.3 MB
  • Part 03-Module 01-Lesson 01_Project Introduction/01. 01 Kuka Intro-4vqn2loK3ao.mp4 6.3 MB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/02. Sensor Calibration-nrOwEXhHR0g.mp4 6.2 MB
  • Part 01-Module 07-Lesson 05_Object Recognition/02. Features-syc68KSNEJw.mp4 6.2 MB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/01. Intro HS V4-5VWOIx9nJ9o.mp4 6.1 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.mp4 6.1 MB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/01. Introduction-WchXpePVMuI.mp4 6.1 MB
  • Part 01-Module 07-Lesson 01_Perception Overview/02. The Upcoming Project-dj21r-nGqkE.mp4 6.0 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/04. Rotations In 3D-PWeLcv3EaTA.mp4 6.0 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/addmodel-rviz-2-3.gif 6.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/09. Perception Reflection-nFFYWQxUo_U.mp4 6.0 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/20. RSEND T1P2 W Part 4 V2-o9HDo3I0arE.mp4 5.9 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/14. Outro-4bmlai26h_4.mp4 5.9 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/12. 12 Template Class-gM2Lsj3HdZg.mp4 5.9 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/05. LIDAR-mPs8gHds9Yo.mp4 5.8 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/01. Introduction-oOJEtvCGEiw.mp4 5.8 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/16. Outro-l7vdjOekQhE.mp4 5.8 MB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/01. Mike Intro Wth Intro Graphic--JkzOHVtsys.mp4 5.8 MB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/01. Intro-4oc6WDooP0U.mp4 5.8 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter-1nHSG4U_v2g.mp4 5.8 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/13. gmapping ROS Package-45kWFvCgTdA.mp4 5.8 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/03. IMU-nAvGt8i4KZg.mp4 5.7 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/01. Overview-nA7tllSCpRA.mp4 5.7 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/16. DH Parameter Table-4ZjPUO1Fw8I.mp4 5.7 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/17. 20 L Measuring Performance-xKn8IWxk_-U.mp4 5.7 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/02. Cameras-XgWQlqF-eV8.mp4 5.6 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 5.6 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.6 MB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/14. Segmentation Summary-D6A_uCitK0c.mp4 5.6 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/12. Outro--Us3L6wJN8s.mp4 5.5 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/04. PID Overview-VSF59pFNh8w.mp4 5.5 MB
  • Part 02-Module 05-Lesson 02_RL Basics/25. State-Value Functions-llakAjwox_8.mp4 5.5 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/01. Overview Of Sensors-vsOKFfgxILA.mp4 5.5 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/09. Rviz Package-b3_kNyi7KLY.mp4 5.5 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/04. RADAR-4LGO1YXumy8.mp4 5.4 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/07. 07 Hello, World!-dQ17TKFmvq4.mp4 5.4 MB
  • Part 02-Module 05-Lesson 02_RL Basics/01. Introduction-6jSFl5kxIBs.mp4 5.4 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/01. Welcome to the Course-GaCLcs60EP4.mp4 5.4 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 5.4 MB
  • Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/01. Lesson Overview-B0SVGo8JPeA.mp4 5.4 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/09. Encoders-S1V8F2A-rv8.mp4 5.3 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/24. 02 A104 A Search V5-i6OQJIFL9dA.mp4 5.3 MB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/01. Calibration, Filtering and Segmentation-v1GZeP9IGqE.mp4 5.3 MB
  • Part 01-Module 01-Lesson 02_What is a Robot/04. Action-P-tzy1C7bJU.mp4 5.3 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/14. Intro To 3D SLAM With RTAB Map -CbVNZ0J5Pmg.mp4 5.3 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.mp4 5.2 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/03. Recording Data-E7JhZ2vYS24.mp4 5.2 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/20. RSEND T1P2 W Part 2 V2-7Q8HuGRvPto.mp4 5.2 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/06. Particle Filter-UN9e0li6W38.mp4 5.2 MB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/03. RGB Camera Model With Intro-VdqqnYcwLPw.mp4 5.2 MB
  • Part 02-Module 05-Lesson 05_DQN Lab/01. C4 L5 A01-kTKXJPzGzT0.mp4 5.2 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/measure-tool-2-1.gif 5.1 MB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/speckled-1.png 5.1 MB
  • Part 02-Module 05-Lesson 04_Deep RL/03. DQN Overview-WgiAvr7COR0.mp4 5.1 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. Error Function-V5kkHldUlVU.mp4 5.1 MB
  • Part 02-Module 05-Lesson 04_Deep RL/01. Introduction-avx1WeSenbg.mp4 5.1 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/15. DH Parameter Steps 5-8-rp0koFolTrA.mp4 5.1 MB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/10. Intro To Probabilistic Path Planning-CF6kz2H00ZU.mp4 5.0 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/04. One Piece Of The Puzzle-OJCCNhsuAAY.mp4 5.0 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/20. Additional Resources-kb6lgWQVvAU.mp4 5.0 MB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/03. Power Of MCL-xwOWl7cGwOU.mp4 5.0 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/11. 11 Inheritance And Pointers-E3B9GHqEdj4.mp4 5.0 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/01. 01 Introducing Karim-_zF81prFQw4.mp4 5.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Combinando modelos-Boy3zHVrWB4.mp4 5.0 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/08. TurtleBot Teleop Package-zoM5A9PN6VA.mp4 5.0 MB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/01. 3D Perception-LJjPoUF1lRg.mp4 4.9 MB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/01. 00 Kelvin Intro-TORyP4mA_eg.mp4 4.9 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/19. Outro-PN6cQJA1N40.mp4 4.9 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. 16 Probability-hqaj7NaJWk4.mp4 4.8 MB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/06. MCL The Algorithm-nNkCTQw0D_I.mp4 4.8 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/13. Motion Planning Engineer Reflection-nAc40tJP8p0.mp4 4.8 MB
  • Part 02-Module 02-Lesson 01_Inference Development/04. Inference Engine On TX2-3zNa1_3I0wo.mp4 4.8 MB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/01. Introduction-NXV-hWtXOqQ.mp4 4.8 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/02. 02 L Importance Of Mapping V1-fG2gvwinGxg.mp4 4.7 MB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/16. Outro Positional Controller-FHb6KdQG2uM.mp4 4.7 MB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/giphy.gif 4.7 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/05. 05 Ubuntu Setup-7r_E3h90ZFI.mp4 4.7 MB
  • Part 01-Module 07-Lesson 05_Object Recognition/18. Recognition Wrap-up-teROYZudh7c.mp4 4.7 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/10. KR210 Forward Kinematics Part 1-sh3gwZW1zAY.mp4 4.6 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/08. Mid-Lesson Overview -_xbQgoFqNgE.mp4 4.6 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/07. Let's Get Started-yoXAm1ix6q8.mp4 4.6 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/06. IR-cFMJ5ImfF80.mp4 4.6 MB
  • Part 02-Module 05-Lesson 02_RL Basics/09. The Reward Hypothesis-uAqNwgZ49JE.mp4 4.6 MB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/01. Introduction to a Positional Controller-NSbq_g9pUds.mp4 4.6 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/01. Setting up the Problem-kLlc5aWmPXg.mp4 4.6 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/15. Mapping and Localization Reflection-XURfouUc_9Y.mp4 4.6 MB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/01. Intro to Object Segmentation-u3EHyCSWlSw.mp4 4.5 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/03. Challenges and Difficulties -nSNTCJtuO38.mp4 4.5 MB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/08. Project Summary--BRAUHCVEpM.mp4 4.5 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/11. Deep Learning Reflection-ASYxOkucZxI.mp4 4.5 MB
  • Part 01-Module 01-Lesson 02_What is a Robot/03. Decision Making-TQtZx-5xyBk.mp4 4.5 MB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/07. MCL in Action-VgEGrvgty_k.mp4 4.4 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp4 4.4 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/08. 07 Compile And Execute-yyr-V_m-zzE.mp4 4.4 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 4.3 MB
  • Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations-UgIaDMvSdUo.mp4 4.3 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/09. Let's make a deal-l1xMgirpwCU.mp4 4.3 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/11. State Prediction-mjBpoGmNaqU.mp4 4.3 MB
  • Part 01-Module 07-Lesson 06_3D Perception Project/01. Intro To Perception Project-NCSCELDGhIw.mp4 4.3 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/19. Graph Search-aA17XOlX044.mp4 4.3 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/16. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.mp4 4.3 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.mp4 4.3 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/08. Ultrasonic-jaISpzp7kSk.mp4 4.3 MB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/06. Recap-DFS1K_rz1BI.mp4 4.3 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/08. Introduction To FastSLAM -HIrt25hK-oI.mp4 4.2 MB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/06. Why RGB-D-Epy9a_7fRe4.mp4 4.2 MB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/06. Rapidly Exploring Random Tree(PRT)-kOS76UR7Fo8.mp4 4.2 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/13. Graph-SLAM At a Glance-d29m7d-DBYE.mp4 4.2 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/27. Discrete Planning Wrap-Up-UKntCcGaFNo.mp4 4.2 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/17. Control Reflection-D5ugiJVUSsw.mp4 4.2 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 4.2 MB
  • Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.mp4 4.2 MB
  • Part 01-Module 07-Lesson 01_Perception Overview/04. Summary-H8uVlURy03k.mp4 4.2 MB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/04. K-Means Clustering-YqmIdTZ6puQ.mp4 4.2 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/21. C5 L2 A94 L BFS Part 2 V6-Z_ZvAnyfUeE.mp4 4.1 MB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/07. RGB Image Formation-1tQKqTuY8_4.mp4 4.1 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.mp4 4.1 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/10. Information Matrix and Information Vector -3rsLNj2fQ4Y.mp4 4.1 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. 15 Tensorflow CrossEntropy V1-bYDXA6XPQnM.mp4 4.1 MB
  • Part 02-Module 02-Lesson 01_Inference Development/05. Deploy The Model-psrSmyk55O8.mp4 4.0 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/12. The Grid-based FastSLAM Algorithm-yFKc-2j6BMs.mp4 4.0 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/19. Recap-a-wUWkxWPqY.mp4 4.0 MB
  • Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1-NBWbluSbxPg.mp4 4.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.mp4 4.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 4.0 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/03. Your Part-nIJweu9oVV4.mp4 4.0 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/12. Kuka KR210 Forward Kinematics Part 03-nQ8PiP1BlSA.mp4 4.0 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/15. 3D SLAM With RTAB-Map -YpDVapcNaVw.mp4 4.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp4 3.9 MB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/02. Q-Learning Algorithm-Yzg59NGpcZQ.mp4 3.9 MB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/06. Building Editor-BUCZQpflaUI.mp4 3.9 MB
  • Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.9 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.9 MB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/05. Probabilistic Roadmap (PRM)-hs9Xkujs-5M.mp4 3.9 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/19. My Project Reflection-ZZKRKbyX2pY.mp4 3.9 MB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/08. Outro-qBd_gY5CXFM.mp4 3.9 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 3.8 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/16. Limitations Of PID-N3oWkNfx4LQ.mp4 3.8 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.mp4 3.8 MB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/07. High Level Frameworks-ThmsQxazSvM.mp4 3.8 MB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/01. C4 L6 A01-TIAd1UvI-YU.mp4 3.8 MB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/12. Segmentation In Perception-cdf6kF1rBXQ.mp4 3.7 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/11. Discretization-mKWjmGt4BPs.mp4 3.7 MB
  • Part 02-Module 05-Lesson 04_Deep RL/02. From RL to Deep RL-7HLJ0uaR1F0.mp4 3.7 MB
  • Part 02-Module 05-Lesson 05_DQN Lab/06. Recap-n_ufEO7puVE.mp4 3.7 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/14. DH Parameter Steps 1-4-77CZQ6huL-8.mp4 3.7 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/10. Main Launch-dh1PlulCxtA.mp4 3.7 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.7 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/10. Recap-C_CUJXF4KXc.mp4 3.6 MB
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.6 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.6 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/01. Intro To Deep Neural Networks-SXtXg_BB4lI.mp4 3.6 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/01. Introducing Vincent!-jhalIJAcbuU.mp4 3.6 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/23. C5 L2 A102 UCS Part 2 V6-hrhu6VXEq6U.mp4 3.6 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.mp4 3.6 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/03. First Interaction--GxyQuh5LJ8.mp4 3.6 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/11. Inverse Sensor Model-JqCjlJxmR6o.mp4 3.6 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/16. 3D Data Representations-hvkGrM-jZXA.mp4 3.5 MB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/12. IoU---9BTjOsO6U.mp4 3.5 MB
  • Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.mp4 3.5 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4 3.5 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/02. Coordinate Frames And Vectors-raD9QQau9zo.mp4 3.5 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.5 MB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/06. Recap-H55YZLMz95s.mp4 3.5 MB
  • Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2-elZCLxVvJrY.mp4 3.5 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp4 3.5 MB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screen-shot-2018-02-12-at-4.14.43-pm.png 3.5 MB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/07. Odometry To Trajectory Package-1U-SlO_JT9s.mp4 3.4 MB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/cnn-embed-full-4k-half.jpg 3.4 MB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/03. Clustering Intro-P9jwsy1BUnI.mp4 3.4 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/02. Graphs-a7qFQMwMb4k.mp4 3.4 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/23. Wrap Up-s5YF2TuXM7s.mp4 3.4 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search-27mdDguSqvM.mp4 3.3 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/20. Recap-APfyE5LWCw8.mp4 3.3 MB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges Solution-2W60lfPQYZY.mp4 3.3 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/25. 1x1 Convolutions-Zmzgerm6SjA.mp4 3.3 MB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/02. Job Titles-nOiG177fxMc.mp4 3.3 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.mp4 3.3 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.mp4 3.2 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.02-pm.png 3.2 MB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/09. Recap-ittFKxLjdlU.mp4 3.2 MB
  • Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.2 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.2 MB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/09. Testing Navigation-t-0li7H131A.mp4 3.1 MB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4 3.1 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/05. Continuous Representation-4Npk-v3sg2U.mp4 3.1 MB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/06. Recap-4DCHI_brlT4.mp4 3.1 MB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/09. C4 L6 A02-T6sbJAf-Bto.mp4 3.1 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.08.11-pm.png 3.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 3.0 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/02. Open-Loop Control-p5-E3n9_ptM.mp4 3.0 MB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/08. Recap-CwUHk7xSkkM.mp4 3.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 3.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/12. 10 Error-56zJ6kEq5-Y.mp4 2.9 MB
  • Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.mp4 2.9 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp4 2.9 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/16. Visual Bag Of Words -7-T3Vo5bWnI.mp4 2.9 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/08. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.mp4 2.9 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/26. Graph-Search Wrap-Up-tplAoLJeBS0.mp4 2.9 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier-WQsdr1EJgz8.mp4 2.9 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.mp4 2.8 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/18. 18 L Outro-aw6c0C8dCK8.mp4 2.8 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/04. Discrete Planning-paeOudcnghM.mp4 2.8 MB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/arpan.png 2.8 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/36. CNNs Wrapup-s27rkmzx7LI.mp4 2.8 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. 17 Quiz - Cross-qtzh3pKdkzk.mp4 2.8 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/14. Multi Sensor Fusion -d9-a8Z0E8rg.mp4 2.8 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module-SlTm03bEOxA.mp4 2.7 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.mp4 2.7 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.mp4 2.7 MB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4 2.7 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/12. Training a Deep Learning Network-CsB7yUtMJyk.mp4 2.7 MB
  • Part 01-Module 07-Lesson 05_Object Recognition/06. Histograms Of Color-ktJ1lkIxFxk.mp4 2.7 MB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/04. Scene Understanding-aMQREc-mP50.mp4 2.6 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/22. L2 98 DFS Part 2 V3-2_hHQBhD1n8.mp4 2.6 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/gazebo-demo.gif 2.6 MB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-demo.gif 2.6 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/zero-2-1.gif 2.6 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/05. Correspondence-9fe6Tzx8H78.mp4 2.6 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/13. Images-_E96yrPxVrM.mp4 2.6 MB
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.mp4 2.6 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4 2.6 MB
  • Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.mp4 2.5 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/focus-camera-2-1.gif 2.5 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/02. Online SLAM-bQ9aQj46cMI.mp4 2.5 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models Are Limited-12AYOYDrpfQ.mp4 2.5 MB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/10. Reaching Multiple Goals-RcbjN6KFJq8.mp4 2.5 MB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/07. Variable Resistors-p-7Fb6L1Qv0.mp4 2.5 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/17. RTAB-Map Memory Management-Cs4mO5y4xYY.mp4 2.5 MB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/09. Sample-Based Path Planning Wrap-Up-TMefU2S7ass.mp4 2.4 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/08. Filtering -gvSuVqEI5OI.mp4 2.4 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.mp4 2.4 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/01. Introduction-s2EjPF0Xn2w.mp4 2.4 MB
  • Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.mp4 2.4 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp4 2.4 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.mp4 2.3 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/03. C2 L2 A3 History V2-K1PT5I5hro0.mp4 2.3 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.mp4 2.3 MB
  • Part 03-Module 01-Lesson 02_Project Details/02. KUKASampleCode-ZEW-gsCAWRs.mp4 2.3 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/05. Variations-ldg7uIhA08k.mp4 2.3 MB
  • Part 01-Module 01-Lesson 02_What is a Robot/02. Perception-BofRh5BrBDc.mp4 2.3 MB
  • Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update-OaLfGr8xx9Q.mp4 2.2 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.mp4 2.2 MB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/12. Putting It All Together-MSiU6SB__Dk.mp4 2.1 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/10. Occupancy Grid Mapping Algorithm-sDQ0KRYuPJM.mp4 2.1 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/01. Introduction to Path Planning-zSP3Bf2tZSU.mp4 2.1 MB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/05. Noise-8oMow26fgwg.mp4 2.1 MB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/17. Summary of Calibration, FIltering and Segmentation-4je0BGi_WPs.mp4 2.1 MB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/img/img-1447.jpg 2.1 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/03. Full SLAM -L7aE6TFt2zw.mp4 2.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.mp4 2.0 MB
  • Part 02-Module 05-Lesson 04_Deep RL/07. Recap-2F1XUtQwLZA.mp4 2.0 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/17. Octomap-9s9ibmsQ4lQ.mp4 2.0 MB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/13. Robot Grasping Challenge-B9KrDaOhrco.mp4 2.0 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/07. Particle Filter Approach To SLAM-0DiiZi5t75U.mp4 2.0 MB
  • Part 02-Module 03-Lesson 06_Project Where Am I/13. Localization Challenge-8jPBBHTXzQs.mp4 2.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.mp4 2.0 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/06. Grid Cells -WxRLYM7qHbc.mp4 2.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Multiclass Classification-uNTtvxwfox0.mp4 2.0 MB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/12. 02 Lesson 05 Outro-zVuZZPF-QQM.mp4 2.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. 12 Discrete--tPLp5JKFkk.mp4 2.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.mp4 2.0 MB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/7cans.png 1.9 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/11. Grid-based FastSLAM Techniques-0VwPYaQk98U.mp4 1.9 MB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/14. 02 Lesson 06 Outro 1-oHM_mW9xmI8.mp4 1.9 MB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/12. 3D Perception Summary-SVSHlRLLCFo.mp4 1.9 MB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/ledcircuitpic.jpeg 1.9 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/06. 06 Editor Choice-11x_6HPtsg4.mp4 1.9 MB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/03. Semantic Segmentation-_L5gJnZrw48.mp4 1.8 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.8 MB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-27-at-4.57.31-pm.png 1.8 MB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/04. Mapping with Known Poses-LST_AieoenI.mp4 1.8 MB
  • Part 01-Module 07-Lesson 01_Perception Overview/img/jena00.png 1.8 MB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/11. Modeling Virtual Objects-Gq_FTu48ytc.mp4 1.8 MB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/10. Skip Connections-JUYLA5PWzo0.mp4 1.8 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/04-rectified-linear-units-quiz-image-2.png 1.8 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. 18 Formula For Cross-xzabkugu2yI.mp4 1.8 MB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-11.36.43-am.png 1.8 MB
  • img/nd209-robond-hero.png 1.7 MB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/t-2200.png 1.7 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.mp4 1.7 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/04. 分类问题 2 -46PywnGa_cQ.mp4 1.7 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/08. Convolutions Cont.-utOv-BKI_vo.mp4 1.7 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.mp4 1.7 MB
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.7 MB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.7 MB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/01. 01 Lesson 06 Intro-j_lRYOKDjWg.mp4 1.7 MB
  • Part 01-Module 01-Lesson 06_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.48.22-pm.png 1.6 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/16. Regularization-QcJBhbuCl5g.mp4 1.6 MB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/15. PID Control Summary-VMllCpVr-08.mp4 1.6 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 1.6 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/18. 02 86 Discretization Wrap-Up-YuH5HQ7DJUE.mp4 1.6 MB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/04. 03 Transitioning-BvDvxw8e0CY.mp4 1.5 MB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/11. FCNs In The Wild-q9wTd53-hsw.mp4 1.5 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. 14 Quiz - Softmax-DqNlVmt_0qs.mp4 1.5 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Chain Rule-YAhIBOnbt54.mp4 1.5 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/04. Let'S Get Started-ySIDqaXLhHw.mp4 1.5 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/start-run-spawns.png 1.5 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/run-setup.png 1.5 MB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/15. Probabilistic Path Planning Wrap-Up-6HqAXjlA3no.mp4 1.5 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/recording.png 1.4 MB
  • Part 02-Module 04-Lesson 04_GraphSLAM/03. Constraints-oo6G_ABDa80.mp4 1.4 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/21. Breadth-First Search-5JUpzI75iuk.mp4 1.4 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/18. 21 Validation And Test Set V2-iC2QOiavbrw.mp4 1.4 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/quad-start.png 1.4 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/spawn-points.png 1.4 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/25. Non-Linear Regions-B8UrWnHh1Wc.mp4 1.4 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/overhead-view.png 1.4 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/08. 06 L Supervised Classification-XTGsutypAPE.mp4 1.4 MB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/rock-pickup2.gif 1.4 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/arm-step-2.png 1.3 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/patrol-points3.png 1.3 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/quad-view-adjust.png 1.3 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/19. Dropout Pt. 2-8nG8zzJMbZw.mp4 1.3 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/patrol-points1.png 1.3 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/patrol-points-removed.png 1.3 MB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/22. Depth-First Search-MxdxqfN1-P8.mp4 1.3 MB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/07. Path Smoothing -R20Mpz5y7-w.mp4 1.3 MB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/02. Bounding Boxes-uPv4d0Xl8hc.mp4 1.3 MB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/05. Network Of ReLUs-mJk1UvhDb1g.mp4 1.3 MB
  • Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/img/screen-shot-2017-10-31-at-1.06.42-pm.png 1.3 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/arch.png 1.3 MB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/orig-and-undist.png 1.3 MB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper1.png 1.2 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/convolutionalnetworksquiz.png 1.2 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3l3-a06-l-slam-challenges-2.jpg 1.2 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/fk.png 1.2 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/hero-path.png 1.2 MB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.mp4 1.2 MB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4 1.2 MB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3-l3-a05-correspondence-1.jpg 1.2 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/26. Non-Linear Models-HWuBKCZsCo8.mp4 1.2 MB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/rviz-demo.gif 1.2 MB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/arm-step-1.png 1.1 MB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/19. 22 Validation Quiz-mSeTBws1MbA.mp4 1.1 MB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/boot-view.png 1.1 MB
  • Part 01-Module 07-Lesson 01_Perception Overview/img/screen-shot-2017-07-01-at-11.08.18-am.png 1.1 MB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/08. Wall Follower-fVsCxbpv6Ls.mp4 1.1 MB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/following.png 1.0 MB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/07. 为何是神经网络-zAkzOZntK6Y.mp4 1.0 MB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/img/ipconfig-inethighlight.png 996.2 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/start-recording.png 979.7 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-22-22-36-18.png 968.4 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/screen-shot-2017-08-10-at-11.27.06-am.png 952.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/20. 23 Validation Set Size Continued-cXj-FLdPGgg.mp4 925.2 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-26-at-2.19.13-pm.png 923.5 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update In 1D (Post Quiz) -cKEVFynbJfs.mp4 894.5 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/07. Transposed Convolutions-K6mlLX8ZZDs.mp4 891.4 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3l3-a10-l-adapting-fastslam-to-grid-maps-1.jpg 890.1 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/gazebo-model.png 846.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.mp4 839.5 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/multivariate-gaussian.png 839.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/fashion-mnist-sprite.png 790.5 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/img/get-hired-with-the-udacity-career-portal.gif 774.9 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.00.25-pm.png 772.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/student-quiz.png 767.0 kB
  • Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-07-27-at-12.22.10-pm.png 762.6 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/screen-shot-2017-09-07-at-4.25.57-pm.png 755.1 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/img-1150-multimeter.jpg 728.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/img/6509638772.gif 728.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/img/6509638772.gif 728.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.mp4 725.9 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/img/screen-shot-2018-04-18-at-7.45.22-pm.png 709.0 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/test3-world.png 706.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-06-29-at-11.18.05-am.png 676.8 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper2.png 671.9 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/04. 04 Rectified Linear Units Quiz -dntLkMXbguY.mp4 657.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/15. Numerical Stability-_SbGcOS-jcQ.mp4 647.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-24-at-4.28.04-pm.png 637.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/go.jpg 629.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-12-at-3.01.05-pm.png 627.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/and-to-or.png 620.7 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/17. Regularization-Quiz-E0eEW6V0_sA.mp4 612.7 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/rtab.png 610.9 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/profile-pics.jpg 609.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-21-at-1.26.20-pm.png 604.5 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-21-at-1.12.06-pm.png 593.8 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/09. ChainRule-DxOg_olir0k.mp4 590.3 kB
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 583.0 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 583.0 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-13-at-4.28.45-pm.png 578.7 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/3.png 570.5 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.59.16-pm.png 541.9 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/img/dusty-nv-turbo.jpg 536.6 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper4.png 528.6 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-03-at-2.38.41-pm.png 527.4 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/img/l6-c6-testing-slam.png 525.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/08. DL 09 XOR Perceptron--z9K49fdE3g.mp4 524.1 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/ros-find-object-3d.png 519.2 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-quiz-reachable-workspace-full-01.png 506.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-77-img-combination-v2.png 500.6 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/statistical-outlier-removal-cropped.png 500.2 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/armenv.png 496.4 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/img/rl-gazebo.png 496.4 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/obs1.png 489.2 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-01.png 478.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-08-31-at-3.27.10-pm.png 474.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/img-20170707-130426.jpg 472.8 kB
  • assets/img/udacimak.png 472.1 kB
  • Part 01-Module 03-Lesson 01_GitHub/img/6485174133.gif 469.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/img/6485174133.gif 469.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/8q54zj6n-1450161350.jpg 462.9 kB
  • Part 01-Module 03-Lesson 01_GitHub/img/6499079068.gif 456.6 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/img/6499079068.gif 456.6 kB
  • Part 01-Module 03-Lesson 01_GitHub/img/6551597473.gif 455.0 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/img/6551597473.gif 455.0 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/retriever-patch-shifted.png 453.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-08-at-5.28.39-pm.png 450.6 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/screenshot-from-2017-06-05-21-51-06.png 448.3 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/img/image4.png 446.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/retriever-patch.png 446.0 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-84-img-local-minima-gradient-v1.png 439.9 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/img-20170707-130527.jpg 438.9 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/img-20170707-130724.jpg 438.7 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/02. 02 Number Of Parameters Quiz - Dark Bg-1pfG-l0I5LU.mp4 437.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/regularization-quiz.png 431.0 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/img-20170707-132348.jpg 429.4 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-03-at-7.56.57-pm.png 428.1 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper3.png 427.5 kB
  • Part 03-Module 01-Lesson 01_Project Introduction/img/screen-shot-2018-07-27-at-12.22.55-pm.png 420.5 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-2.png 417.6 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-06-09-31-00.png 414.0 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-06-09-42-03.png 412.8 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-10.48.32-am.png 412.3 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/mjeyodq4na.jpeg 410.2 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/screen-shot-2017-09-01-at-1.32.10-pm.png 405.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/or-quiz.png 403.1 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/brickbox-gazebo.png 398.1 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/img/screen-shot-2018-03-19-at-3.07.16-pm.png 397.8 kB
  • Part 01-Module 03-Lesson 01_GitHub/img/mat-leonard-circle.png 394.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/img/mat-leonard-circle.png 394.1 kB
  • Part 01-Module 01-Lesson 06_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.50-pm.png 384.6 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/img-1113-breadboard.jpg 380.4 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screenshot-from-2018-02-12-10-44-44.png 379.1 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/sympy-logo.svg.png 378.4 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-10.23.07-pm.png 374.8 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-21-09-59-15.png 364.5 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-13-at-4.36.49-pm.png 358.9 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-78-img-final-gradient-v2.png 358.6 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/screenshot-from-2017-06-05-21-56-56.png 357.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-73-img-scalar-function-v2.png 354.2 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c7-01-numerical-solution-to-mle-v1.png 350.5 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-14-58-51.png 349.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/vlcsnap-2016-11-24-16h01m35s262.png 349.5 kB
  • Part 02-Module 08-Lesson 01_Completing the Program/img/soas-learning-path.png 347.6 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-29-29.png 347.5 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/img/jx10-jetsontx2-170203-0059-transp-2000px.png 343.9 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/img/screen-shot-2017-09-21-at-12.55.26-pm.png 341.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/teeth-whiskers-tongue.png 339.9 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/loop-closure.png 336.1 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-27-at-4.32.30-pm.png 335.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-06-26-at-4.49.29-pm.png 335.1 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/img/l4-c7-mcl.png 331.5 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-12.58.20-pm.png 329.2 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-21-09-53-36.png 327.0 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-10-11-22-24.png 325.9 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/rqt-console.png 325.3 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/wifi-mapping1.png 322.9 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/img/l2c5-01.png 321.9 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/3d-map-rviz.png 320.2 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-05-at-11.40.33-am.png 319.6 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/img/i2ctable.png 319.0 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-75-img-obstacles-function-v2.png 318.8 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/img/jetpack-platform.png 316.4 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz-costmaps-together.png 314.0 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/img-1145-resistors.jpg 308.3 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/img/screen-shot-2018-11-09-at-6.28.07-pm.png 307.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-10-15-36-26.png 303.1 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-5.png 300.7 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-21-21.png 296.9 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/img/pages-from-jetson-tx1-tx2-developer-kit-carrier-board-specification-v20170501.jpg 296.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/layers.png 293.0 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/fruit.gif 292.0 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/5.png 288.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/vlcsnap-2016-11-24-15h52m47s438.png 287.0 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/img/screen-shot-2018-02-22-at-4.57.09-pm.png 282.3 kB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/img/l1c4-03-v2.png 279.1 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/pic2.png 279.0 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-3.12.56-pm.png 278.3 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/img-1138-jumpers.jpg 278.0 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/costmap-with-without-inflation.png 275.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/and-quiz.png 272.2 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-08-01-13-48-21.png 270.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-21-at-3.30.58-pm.png 268.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 266.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-17-04-27-11.png 266.0 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/img/rl-gazebo-fall.png 262.8 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screen-shot-2018-02-12-at-3.27.37-pm.png 257.5 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screen-shot-2018-02-15-at-5.42.59-pm.png 255.4 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-1.png 254.0 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-vm-mac.png 251.0 kB
  • Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-07-24-at-12.04.45-am.png 250.9 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/slam.png 250.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-16-at-3.15.28-pm.png 247.4 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/pick-and-place-fwdkinematics.png 247.0 kB
  • Part 01-Module 01-Lesson 06_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.34-pm.png 244.7 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/img/lenetmodeltrain.png 242.5 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-06-09-37-18.png 242.0 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/img/l4-c7-ekf.png 241.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-16-at-11.20.52-am.png 240.2 kB
  • assets/js/katex.min.js 236.8 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/redacted-linkedinresults.png 236.3 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/img/image8.png 233.5 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/img/screen-shot-2018-02-24-at-2.12.00-pm.png 233.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/dog-1210559-1280.jpg 228.3 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.55.40-pm.png 227.5 kB
  • Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/img/robotic-image-01-v2.png 226.8 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-map.png 225.0 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-14-59-54.png 223.7 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/img/jetpack-downloads.png 222.6 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/model2-dataset2.png 222.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/xor.png 220.1 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-24-at-6.29.02-am.png 219.8 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/multi-layer.png 219.5 kB
  • index.html 219.2 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-14-55-50.png 219.2 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/quadrotor-annotated-2-pinta.png 216.8 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-06-09-51-52.png 216.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-21-at-12.20.50-pm.png 215.6 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/quadrotor-top-view.png 214.9 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/pic1.png 214.1 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/screenshot-from-2017-07-25-09-51-29.png 213.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/passthrough1.png 212.8 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/img/nd209-c3-l2-a07-computing-the-posterior.png 211.0 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/img/fcn.png 209.7 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-a10-measurement-update-in-1d-quiz.00-00-46-29.still001.png 209.2 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/img/l2c9-01.png 208.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-21-at-12.20.30-pm.png 208.0 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/img/1x1convolution.png 205.8 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.11.40-pm.png 205.5 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-4.32.22-pm.png 204.2 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-05-at-10.49.11-am.png 203.3 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-22-at-9.20.22-am.png 199.3 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-20-53.png 198.5 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-12.59.50-pm.png 197.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/common-questions-banner-01.png 196.9 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/common-questions-banner-01.png 196.9 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/common-questions-banner-01.png 196.9 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/common-questions-banner-01.png 196.9 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/img/common-questions-banner-01.png 196.9 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/common-questions-banner-01.png 196.9 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/common-questions-banner-01.png 196.9 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/point-cloud-torus.gif 193.2 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/img-1132-transistor.jpg 191.7 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/1omsg2-mkguagky1c64uflw.gif 188.4 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-15-l-composition-of-homogeneous-transforms-2.png 187.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-14-16-39-30.png 186.7 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/img/rqt-graph-.png 186.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/pup.jpg 185.6 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/img/data-p1-digits.jpg 184.9 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-24-at-6.27.08-pm.png 184.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/andra.png 183.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/building-a-pi-controller-01.png 182.4 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/screenshot-from-2017-07-25-09-45-24.png 181.1 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/tx1-tx2-benchmarks.png 180.8 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/5.png 179.6 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/img/c2-l4-a03.png 177.9 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-12.52.15-pm.png 177.0 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-15-05-02.png 176.4 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-1.02.42-pm.png 175.8 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-06-09-32-02.png 175.3 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-22-25.png 173.2 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-empty-world.png 173.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/press-release-min.png 172.5 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/18a-l-dh-parameter-example-1.00-00-19-17.still001.jpg 171.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-14-l-homogeneous-transforms-and-their-inverse-v2-01.png 171.4 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/a-kerndocumenten.jpg 171.3 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/sparkfunlogo.jpg 170.3 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/img/c2l3-a09-main-launch.00-00-35-10.still001.png 170.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.49.43-pm.png 169.6 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/hfe-saturation-marked.png 167.1 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-15-02-57.png 165.8 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/img/screen-shot-2017-12-12-at-2.46.30-pm.png 165.1 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-6.png 164.2 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/use.png 164.0 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/img/09-resampling-wheel.00-02-05-24.still002.png 163.2 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-graph-3.png 162.6 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/normals-intuiition-quiz-image.jpg 161.8 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/building-a-p-controller-01.png 161.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-02-at-2.28.19-pm.png 161.0 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/rviz-anonotated-2.png 160.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/pi-control-slide1.png 160.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/building-a-pi-controller-02.png 160.0 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-46-visibility-graph-02-v3.png 159.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2018-10-09-at-2.07.28-pm.png 159.1 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-5.57.25-pm.png 157.9 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-30-13.png 157.9 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/08. A Real-World Map.html 157.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-44-visibility-graph-01-v3.png 156.9 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot-move.gif 156.5 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/table-collision-map.png 156.1 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/img/08-resampling.00-01-58-15.still002.png 155.8 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/segmented.png 154.0 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/1.png 153.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/e2.png 152.0 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/13-l-tuning-strategies-01.png 151.6 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/workspaces-gpu.png 149.0 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/screenshot-from-2017-06-05-23-27-04.png 148.7 kB
  • Part 01-Module 01-Lesson 01_Welcome/img/screen-shot-2017-05-03-at-9.47.46-pm.png 146.7 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/workspaces-notebook.png 146.3 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/4.png 146.1 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-graph-2.png 145.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-12-at-7.16.49-pm.png 145.4 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/amcl-warnings-small.png 144.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-07-at-12.58.46-pm.png 144.2 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-32-00.png 142.1 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-6-v2.jpg 141.6 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/kamigami-app-home-compressor-1.png 141.5 kB
  • assets/css/bootstrap.min.css 140.9 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/l2-a02.png 140.7 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/sabine021.jpg 139.1 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/datasheet-saturated.png 139.1 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-15-at-4.44.30-pm.png 138.2 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/side-collision-map.png 138.1 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/segmented-objects.png 137.4 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/mit-prehensile-pushing-0.jpg 136.7 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screenshot-from-2018-02-08-15-15-02.png 136.5 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/screenshot-from-2017-07-25-09-44-16.png 136.4 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-graph-1-v1.png 135.7 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/screenshot-from-2017-06-05-21-43-28.png 135.4 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-14-57-52.png 135.0 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-9-v2.jpg 134.6 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-06-09-39-47.png 133.7 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz-nav-goal-small.png 132.8 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/car-not-car-examples.jpg 131.5 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/8bd48db3c5097595ccb3b3f4ac400756.jpg 130.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/filter-depth.png 130.8 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-15-06-14.png 130.5 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/metrics.png 129.9 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/corners-found3.jpg 129.8 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-27-at-5.25.02-pm.png 129.7 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-03-l-joint-types-and-degrees-of-freedom-01.png 129.5 kB
  • assets/js/plyr.polyfilled.min.js 129.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/tuning-strategies-01.png 127.8 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/active-passive-v3.png 127.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/building-a-p-controller-02.png 126.8 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/img/screen-shot-2018-04-21-at-7.02.44-pm.png 126.0 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-graph-4-v2.png 125.6 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-4.png 125.6 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/d3033956b30445e5985a61c65d6427af.jpg 124.0 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/l3-slam-challenges-01.png 121.5 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/transform-tolerance-warning.png 121.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/screen-shot-2017-09-05-at-7.41.25-pm.png 119.1 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-28-47.png 119.0 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/c91.png 118.5 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-05-at-12.31.15-pm.png 117.9 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/tx2-jetpack31-perf.png 117.8 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-03-26-at-3.53.05-pm.png 116.8 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-4-v2.jpg 116.7 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c11-01-inference-images-v1.png 116.0 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c11-02-inference-images-v1.png 115.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/backgammonboard.svg.png 115.5 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/screenshot-from-2017-06-05-23-28-25.png 114.9 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/img/l4c4-rl-to-deeop-rl-03-v1.png 114.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2018-08-15-at-5.04.49-pm.png 113.5 kB
  • Part 01-Module 01-Lesson 06_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.38.47-pm.png 113.2 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/last-graph-v1.png 112.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-117-uniform-cost-search-part-1-30-v1.png 111.9 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-15-01-05.png 111.6 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/6.png 111.4 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/getting-to-know-your-simulator-01.png 109.6 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-24-at-5.32.35-pm.png 109.3 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/building-a-pid-controller-01.png 108.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-119-bfs-part-1-09-v2.png 108.7 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-1-update.jpg 108.6 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-3.png 108.0 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-a08-graph-.png 106.9 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-22-at-11.23.39-am.png 106.6 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-04.png 106.6 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/newkaijenphoto.jpg 106.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/article-2278590-1792e332000005dc-394-634x615.jpg 105.5 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/map-update-warning.png 105.4 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/pick-and-place-pose.png 105.2 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz-robot-initial-posearray-small.png 104.9 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-07-at-12.57.07-pm.png 104.9 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-60-decomposition-v2.png 104.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-16-l-denavit-hartenberg-parameter-definitions-01.png 104.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-03-26-at-4.16.53-pm.png 103.6 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/buiding-a-pd-controller-01.png 103.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-118-dfs-part-1-11-v1.png 103.0 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/josh.jpg 102.8 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/josh.jpg 102.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/l251-voronoi-diagram-01-v4.png 102.6 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/img-1124-led.jpg 101.5 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-12-at-7.28.18-pm.png 101.4 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/image3.png 100.4 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-3-v2.jpg 100.1 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/06-adding-depth-1-update.jpg 98.7 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/challenge.png 98.1 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-21-at-12.59.37-pm.png 97.8 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-0.gif 96.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/xor-quiz.png 96.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/perceptronquiz.png 95.9 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-04-maximum-likelihood-v1.png 95.6 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/tradeoff-2.png 95.2 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-23-03.png 95.0 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-15-l-composition-of-homogeneous-transforms-01.png 94.3 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/screenshot-from-2018-02-27-14-32-35.png 93.2 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/cory-kidd.jpg 92.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-69-octrees-image-01-v1.png 92.6 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/building-a-pid-controller-02.png 92.3 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/c5-l3-img-real-robots-v2.png 91.9 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-12.54.05-pm.png 91.8 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/e1.png 91.5 kB
  • Part 01-Module 01-Lesson 01_Welcome/img/image-robo-arm1x-9d6682202e3cbd71a30f4ec7eb31ab8984baba1227f938594d5f8ed8b6b1c5d8.png 91.0 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/scara.png 91.0 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-08-02-at-3.37.28-pm.png 89.6 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-08-02-at-5.13.41-pm.png 89.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-a08-quiz.png 89.0 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/3.png 88.9 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-3.00.13-pm.png 88.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/buiding-a-pd-controller-02.png 87.7 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/workspaces-new.png 87.3 kB
  • assets/js/jquery-3.3.1.min.js 86.9 kB
  • Part 02-Module 05-Lesson 04_Deep RL/img/screen-shot-2018-03-03-at-8.01.09-pm.png 86.5 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/image4.png 86.2 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/workspaces-jupyter.png 85.5 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-2-v2.jpg 84.6 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/noisy-camera.png 84.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/l2121-admissibility-01-v1.png 84.5 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-21-at-3.32.18-pm.png 84.3 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-05-at-11.31.01-am.png 83.0 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/willow-garage-map.png.jpg 82.8 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-03.png 82.2 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/image6.png 81.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/getting-to-know-your-simulator-02.png 81.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-11-prm-1516-v2.png 81.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-37-3dimage-v3.png 80.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-25-at-6.02.37-pm.png 80.7 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/amcl-ros-gz-small.png 80.1 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/img/imagenet-digits-model-download.png 79.4 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/workspace-paste-ex.png 78.8 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-5-v2.jpg 77.7 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/12.png 76.9 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-16-l-denavit-hartenberg-parameter-definitions-02.png 76.3 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-02-13-49-56.png 75.6 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/img/step0.png 75.2 kB
  • Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-orange.jpg 73.8 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/img/l4-c6-bayesfiltering.png 73.3 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-05.png 72.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l20-inverse-kinematics-02.png 72.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/5-neural-networks.jpg 72.1 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-43-v3.png 71.9 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-41-img-subway-map-v1.png 71.5 kB
  • assets/css/fonts/KaTeX_AMS-Regular.ttf 71.4 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l21-l-inverse-kinematics-01.png 71.3 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-03-l-joint-types-and-degrees-of-freedom-03.png 71.2 kB
  • assets/css/fonts/KaTeX_Main-Regular.ttf 70.1 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-sim-mac.png 70.0 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-13-l-translations-images-01.png 70.0 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/12. Interview with Cory Kidd, founder and CEO of Catalia Health-FEdQ23jNnio.en.vtt 69.5 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-7-v2.jpg 69.2 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-13-at-1.44.40-pm.png 69.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/paper-notes.svg.png 69.0 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-02.png 68.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-07-l-coordinate-frames-and-vectors-03.png 68.1 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/setupa2.jpg 67.7 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-ip.png 67.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-107-img-bidirectional-v2.png 67.1 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/screenshot-from-2017-12-21-00-04-46.png 66.9 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/09. Swarm Robotics Podcast-nKMp5tyM_rs.en.vtt 66.8 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/14. Interview with Kaijen Hsiao, CTO of Mayfield Robotics-HtVyTo-s6Fs.en.vtt 66.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.50.54-pm.png 66.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-25-at-5.51.40-pm.png 66.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/convolution-schematic.gif 65.2 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-05-at-12.24.46-pm.png 65.0 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-12.24.46-pm.png 65.0 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/sensor-stick-error.png 64.9 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/sensor-stick-error.png 64.9 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/img/gpio-table-r1.png 64.8 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/gpio-table-r1.png 64.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/points.png 64.7 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/img/autonomous-systems.png 64.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/dropout-node.jpeg 64.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/cross-entropy-diagram.png 64.2 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2018-08-15-at-5.07.03-pm.png 64.0 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-4.37.45-pm.png 63.7 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-read-banner.png 63.6 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-07-at-12.49.55-pm.png 62.8 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/9.png 62.7 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/screen-shot-2018-02-22-at-7.28.47-pm.png 62.2 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-do-banner.png 61.9 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/rviz-ex2-2.png 61.9 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/do-build-robotr-01.png 61.9 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-07.png 61.9 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-05.png 61.8 kB
  • assets/css/fonts/KaTeX_Main-Bold.ttf 61.7 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/setupa.png.jpeg 61.5 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/nv-rl-stack-diagram.jpg 61.5 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/watch-concepts-01.png 60.8 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/watch-concepts-01.png 60.8 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/watch-concepts-01.png 60.8 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-13-at-12.53.47-pm.png 60.8 kB
  • Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-apple.jpg 60.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-03-at-7.51.28-pm.png 60.5 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-25-at-2.39.28-pm.png 60.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/read-papersr-01.png 60.2 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-21-09-42-45.png 60.0 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-08.png 59.8 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-31-at-9.52.41-am.png 59.6 kB
  • Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-08-16-at-6.42.50-pm.png 59.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.49.08-pm.png 58.7 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-watch-banner.png 58.5 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/8.png 58.3 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-74-v2.png 58.1 kB
  • Part 02-Module 05-Lesson 04_Deep RL/img/screen-shot-2018-03-03-at-8.00.46-pm.png 57.7 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-12.02.03-pm.png 57.5 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-08-02-at-4.18.53-pm.png 57.5 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/explores-read-banner.png 56.9 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-11.32.40-am.png 56.4 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-73-v2.png 56.3 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/c5-l3-image-for-above-v4.gif 56.3 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/14.png 56.2 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/l3c13-gmapping-ros-package.png 55.8 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/explores-do-banner.png 55.6 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/screen-shot-2017-11-21-at-1.50.26-pm.png 55.5 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/notmnist.png 55.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/notmnist.png 55.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/heirarchy-diagram.jpg 54.9 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-03-maximum-likelihood-v2.png 54.9 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/10. Interview with Andra Keay, Director, Silicon Valley Robotics-VIvwKso4_sA.en.vtt 54.7 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/moveit-logo-large.png 54.6 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/img/digitslogo.png 54.2 kB
  • Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-digits-model-download.png 53.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-25-at-9.18.00-pm.png 53.7 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-06.png 53.7 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/do-metamaterials-01.png 53.3 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/rviz.png 52.7 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz.png 52.7 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-a08-rover.png 52.6 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/explores-watch-banner2.png 52.5 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-08-01-13-50-18.png 52.0 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-2.43.07-pm.png 51.6 kB
  • assets/js/bootstrap.min.js 51.0 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/13.png 51.0 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-62-graph-v2.png 50.7 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/11-l-inverse-kinematics-with-kuka-kr210-03.png 50.1 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/gazebo-mouse.png 49.8 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-vm-windows.png 49.7 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-8-v2.jpg 49.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/7.png 49.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/mayfield-robotics-logo.jpg 48.6 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/img/udacitylogo.png 48.5 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/l3c10-adapting-fastslam-to-grid-maps-01.png 48.4 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-05-maximum-likelihood-v2.png 48.0 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/workspaces-terminal.png 48.0 kB
  • assets/css/fonts/KaTeX_Main-Italic.ttf 48.0 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/11-l-inverse-kinematics-with-kuka-kr210-01.png 47.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/layer-1-grid.png 46.8 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/objects.png 46.8 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/11.png 46.5 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/11. Inverse Sensor Model.html 46.4 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/11-l-inverse-kinematics-with-kuka-kr210-02.png 46.1 kB
  • assets/js/jquery.mCustomScrollbar.concat.min.js 45.5 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/10. Occupancy Grid Mapping Algorithm.html 45.2 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-03-l-joint-types-and-degrees-of-freedom-02.png 44.9 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.ttf 44.8 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-30-at-7.13.43-pm.png 44.8 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-01.png 44.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/mdpimage-53-v2.png 44.4 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-53-v2.png 44.4 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/screen-shot-2017-07-02-at-12.42.35-pm.png 44.3 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-03mle-example-images-v2.png 44.3 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-25-at-10.49.57-pm.png 43.8 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/pick-and-place-tf.png 43.4 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/img/screen-shot-2018-04-26-at-10.16.20-am.png 43.3 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/06. Particle Filter .html 43.2 kB
  • assets/css/jquery.mCustomScrollbar.min.css 42.8 kB
  • Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-08-15-at-5.29.08-pm.png 42.8 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-3.16.47-pm.png 41.5 kB
  • assets/css/fonts/KaTeX_Math-Italic.ttf 41.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-65-quadtrees-image-01-v3.png 41.3 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-22-21-54-24.png 40.8 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-03-at-9.44.10-pm.png 40.2 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff 40.2 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/untitled-presentation-1.png 39.9 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/filtered.png 39.8 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.ttf 39.7 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff 39.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/anaconda-logo.png 39.4 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/two-dof-labeled.png 39.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/25. Quiz Mini-batch.html 39.0 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/c92.png 39.0 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screenshot-from-2018-02-12-11-37-29.png 38.5 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-02-at-2.51.43-pm.png 38.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-35-configuration-space-03-v1.png 38.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/maxpool.jpeg 38.0 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-tcp.png 37.9 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/20. Soft Robotics with Rajat Mishra-F_k2ZtUxvPE.en.vtt 37.8 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/proportional-control-3-slide1.png 37.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/4.png 37.5 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-01-maximum-likelihood-v2.png 37.1 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff 36.8 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-22-21-51-39.png 36.5 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.ttf 36.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/softmax.png 36.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/grid-layer-1.png 36.1 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-22-minkowski-sum-01-v1.png 36.1 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2018-08-15-at-5.07.43-pm.png 36.1 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.ttf 36.0 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-2.33.19-pm.png 35.9 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-3.53.08-pm.png 35.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-19-l-forward-kinematics-01.png 35.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-4.43.05-pm.png 35.3 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-9.00.19-pm.png 34.9 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/aperspective.jpg 34.7 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.ttf 34.7 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-33-configuration-space-02-v1.png 34.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/3.png 34.6 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot-base-castors.png 34.6 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.ttf 34.0 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-03-at-7.45.26-pm.png 33.6 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-04mle-example-images-v3.png 33.5 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-03.png 33.4 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff2 33.2 kB
  • Part 01-Module 01-Lesson 01_Welcome/img/schedule.png 33.2 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/img/schedule.png 33.2 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/img/path.png 33.2 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff2 32.9 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons-3.png 32.7 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-02mle-example-images-v2.png 32.7 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/maxresdefault.jpg 32.6 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/relu-network.png 31.8 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-2.03.06-pm.png 31.8 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/dash-logo-wide-blackorange-1152x111px.png 31.8 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/proportional-control-3-slide2.png 31.7 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/session.png 31.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-09-img-image-of-discrete-v1.png 31.6 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.ttf 31.3 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/img/path-2.png 31.3 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/img/map.png 31.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/chessboardpattern.jpg 30.9 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-3.22.57-pm.png 30.9 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/img/keras-logo.jpg 30.8 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff2 30.6 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons-2-v3.png 30.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-67-exact-cell-decomposition-applied-v4.png 30.3 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.ttf 30.2 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-21-at-8.47.56-am.png 30.0 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/c5-l3-img-sample-based-planning-v2.png 29.4 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-4.28.13-pm.png 29.4 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-3.09.54-pm.png 29.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/minkowski-sum-final.png 29.0 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/12.png 29.0 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons-1-v3.png 29.0 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-47-v1.png 28.9 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/06-l-supervised-classification-391-1.jpg 28.3 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-20-at-12.02.06-pm.png 28.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-32-configuration-space-01-v1.png 28.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-83-img-local-minima-cspace-v2.png 28.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-24-minkowski-sum-02-v1.png 28.0 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/15.png 27.8 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/big-data-360x193.jpg 27.6 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot-color.png 27.6 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-1.gif 27.5 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff 27.2 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/10. Error .html 27.2 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/07-cascade-pid-control.png 27.1 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-01mle-example-images-v2.png 27.1 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/screen-shot-2017-10-22-at-11.23.59-pm.png 27.0 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/img/a3cworkers.png 26.7 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff 26.2 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-v5.gif 25.8 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/max-pooling.png 25.8 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/foptd-1.png 25.6 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/09. Resampling Wheel.html 25.3 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/07. Importance Weight.html 25.1 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/03. First Interaction.html 25.0 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons.png 25.0 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/11. Building a PI Controller.html 24.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.51.47-pm.png 24.9 kB
  • assets/css/fonts/KaTeX_Script-Regular.ttf 24.9 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz-robot-goal.png 24.7 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/06. A Shortest Path.html 24.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/minkowski-sum-nonshifted.png 24.6 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/04. Motion and Sensing.html 24.4 kB
  • assets/css/plyr.css 24.2 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-4.31.22-pm.png 23.8 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff 23.8 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/transistor-circuit-with-values.png 23.5 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/15. Design of Multidimensional KF.html 23.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/08. Perceptrons as Logical Operators.html 23.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/09. Building a P Controller.html 23.4 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff 23.4 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff 23.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/13. Building a PD Controller.html 23.1 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff2 23.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/beyond-the-ideal-case-slide2.png 22.9 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/05. Maximum Likelihood Estimation.html 22.9 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/22. Putting It All Together.html 22.9 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/05. Noise.html 22.9 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.8 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-10.05.46-pm.png 22.5 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-39-v1.png 22.3 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff2 22.2 kB
  • Part 01-Module 12-Lesson 08_Term 1 Outro/img/autonomous-header.png 22.2 kB
  • Part 02-Module 08-Lesson 01_Completing the Program/img/autonomous-header.png 22.2 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/img/autonomous-header.png 22.2 kB
  • assets/css/katex.min.css 22.1 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/artboard-1.png 21.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/09. Map to World Coordinates.html 21.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-30-at-5.24.52-pm.png 21.8 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot.png 21.8 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/3.png 21.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/10. Perceptron Algorithm.html 21.8 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-06-29-at-2.22.29-pm.png 21.7 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-4.10.14-pm.png 21.6 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/21. Tuning Strategies 2.html 21.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/11.png 21.3 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-02.png 21.1 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-30-at-5.26.29-pm.png 21.0 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.9 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons-1v2.png 20.8 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.5 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/eq1.png 20.5 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2016-12-06-at-6.26.30-pm.png 20.5 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff2 20.4 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/dh-transform-matrix.png 20.3 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff2 20.0 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/05. Getting to Know Your Simulator.html 19.9 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.9 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/19. Common Questions.html 19.7 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/07. Perspective Transform.html 19.7 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/12. AWS GPU Instance Set Up.html 19.7 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/minkowski-sum-initial.png 19.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-1.gif 19.6 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.6 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/07. DBSCAN Algorithm.html 19.3 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/transistor-circuit-schematic-r1.png 19.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/27. Convolutional Network in TensorFlow.html 19.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-28-minkowski-sum-quiz-02-v1.png 19.2 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/05. K-means Playground.html 19.2 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/07. RViz Basics.html 19.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff 19.2 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/03. Robot Model Basic Setup.html 19.1 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/06. Output yaml files.html 19.0 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 19.0 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/img/step49.png 18.9 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/12. Denavit-Hartenberg Parameters.html 18.9 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/eq2.png 18.9 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/05. Data Collection Guide.html 18.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/11. Composition of Homogeneous Transforms.html 18.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/05. Quiz Build a Rotation Matrix.html 18.6 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/20. Quiz TensorFlow Dropout.html 18.5 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/10. Homogeneous Transforms and their Inverse.html 18.5 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/08. Warp, Threshold, Map.html 18.4 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/papers-on-swarm-robotics.png 18.4 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/03. BFS Expansion List.html 18.4 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/14. Building a PID Controller.html 18.3 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/06. MLE Example.html 18.3 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/03. Rotation Matrices in 2D.html 18.3 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/l21-l-inverse-kinematics-new-design-fixed.png 18.2 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/papers-on-robot-grasping.png 18.2 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/12. SVM Image Classification.html 18.2 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/11. Creating a Point Cloud from RGB-D Data.html 18.2 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/07. Composition of Rotations.html 18.1 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff 18.1 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l20-inverse-kinematics-01-v2.png 18.1 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/build-your-own-robot-swarm.png 18.0 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/06. The Perception Step.html 17.9 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/08.png 17.9 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/l03a04-extrinsic-calibration.png 17.6 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/09.png 17.6 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/03. Biologically Inspired Robots-4Gd-tkG16vo.en.vtt 17.6 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/img/two-layer-network.png 17.6 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.5 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/speaking.png 17.5 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/17. Forward Kinematics.html 17.5 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/07. Localization AMCL Package.html 17.4 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/09-pid-control-summary-e05.png 17.4 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/05. OpenCV Calibration.html 17.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/tuning-a-pid-controller-1.png 17.2 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/05. BFS Shortest Path.html 17.2 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/07.png 17.2 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/06. Understanding Unified Robot Description Format (URDF).html 17.1 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update.html 17.1 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz-robot-corridor.png 16.8 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/experiment-with-dexnet.png 16.8 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.8 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/08. Localization Parameter Tuning - 1.html 16.8 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/04. Let There Be Sight!.html 16.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-26-minkowski-sum-quiz-01-v1.png 16.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/jupyter.png 16.6 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/09. Localization Parameter Tuning - 2.html 16.5 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/03. Q-Learning Example.html 16.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/19. Quiz One-Step Dynamics, Part 2.html 16.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/08. Minkowski Sum C++.html 16.3 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/04. Two DoF Arm.html 16.2 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Rubric - Improve Your LinkedIn Profile.html 16.1 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/img/l206-classic-path-planning-07-t-01-v3-1.png 16.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/23. Gradient Descent.html 16.1 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/04. BFS Expansion Vector.html 16.0 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff2 16.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/13. Save and Restore TensorFlow Models.html 16.0 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/02. Gazebo Hello, world!.html 16.0 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/16. Visualizing CNNs.html 15.9 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/Project Rubric - Map My World Robot.html 15.8 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-5.04.19-pm.png 15.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/18. Inverse Kinematics.html 15.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/24. Logistic Regression Algorithm.html 15.8 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-2.58.15-pm.png 15.7 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/Project Rubric - Robotic Inference.html 15.7 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/10. Support Vector Machine.html 15.7 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/08. 1D Gaussian.html 15.7 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/03. Tasks.html 15.6 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/07. Histogram in Action.html 15.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image2.png 15.5 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/16. Autonomous Mode.html 15.4 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/gazebo-ros.jpg 15.4 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/Project Rubric - Where Am I.html 15.3 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/15. Inverse Kinematics with Kuka KR210.html 15.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/26. Epochs.html 15.3 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff2 15.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/32. Quiz Optimal Policies.html 15.1 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/24. Deep Learning Questions.html 14.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/27. Quiz State-Value Functions.html 14.9 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-sim-windows.png 14.9 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/dh-transform.png 14.9 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/13. State Utility.html 14.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/06. Filters.html 14.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/inverse-homogeneous-tramsform.png 14.7 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/18. EKF Example.html 14.7 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/05. Perception Pipeline.html 14.7 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/02. Robot Class.html 14.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/12. Quiz Goals and Rewards.html 14.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/23. Quiz Interpret the Policy.html 14.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/table.png 14.6 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/17. EKF.html 14.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/07. Quiz TensorFlow ReLUs.html 14.4 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/img/cluster.png 14.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/24. A Search.html 14.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. Softmax.html 14.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/28. TensorFlow Convolution Layer.html 14.3 kB
  • Part 02-Module 05-Lesson 02_RL Basics/07. Quiz Test Your Intuition.html 14.3 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/12. Policies.html 14.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/09. Parameters.html 14.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/05. Intuition.html 14.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/17. Potential Field.html 14.0 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/02. Modeling the Problem.html 14.0 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff2 14.0 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/05. Controls-6oBw9MLFqok.en.vtt 14.0 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/04. Quadrotor Kinematic and Dynamic Model 2.html 14.0 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/16. Approximate Cell Decomposition.html 13.9 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff 13.9 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/09. Serial Manipulator Applications.html 13.8 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/08. Exploring the Sim.html 13.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/21. Summary.html 13.7 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/27. Control Questions.html 13.7 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/08. Wall Follower.html 13.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/15. Quiz Pole-Balancing.html 13.6 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/17. Requirements Challenges.html 13.6 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/25. Motion Planning Questions.html 13.5 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/11. Markov Decision Process.html 13.4 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/23. PerceptionSensor Questions.html 13.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/11. AWS GPU Instance Preparation.html 13.3 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/16. Creating IK Solver for Kuka KR210.html 13.3 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/05. Catkin Workspace.html 13.2 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/img/2.png 13.2 kB
  • assets/css/fonts/KaTeX_Size1-Regular.ttf 13.2 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/04. Calibration Pattern.html 13.2 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/03. Degrees of Freedom.html 13.1 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/02. Extending your Robot Creation - Sensor Upgrade.html 13.1 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/02. Quadrotor Kinematic and Dynamic Model 1.html 13.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-10.05.37-pm.png 13.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/20. Tuning Strategies 1.html 13.0 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/Project Rubric - Home Service Robot .html 13.0 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/Project Description - Robotic Arm Pick Place.html 13.0 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/3rd-order-820.png 12.9 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/08. Moveit! Basics.html 12.9 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/19. Common Questions.html 12.9 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/pi-control-slide2.png 12.9 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/08. Euler Angles from a Rotation Matrix .html 12.9 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/11. Deep Neural Network in TensorFlow.html 12.8 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/02. Hardware List.html 12.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations.html 12.7 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/17. Debugging Inverse Kinematics and Optimization.html 12.7 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/04. Vision-ovWPxbwkTGA.en.vtt 12.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Neural Network Architecture.html 12.7 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/04. Fruit Game Sample.html 12.7 kB
  • Part 02-Module 05-Lesson 02_RL Basics/18. Quiz One-Step Dynamics, Part 1.html 12.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.51.51-pm.png 12.6 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/09. Helpful Tools.html 12.6 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/03. Extending your Robot Creation - Launch Files.html 12.6 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/02. Active Sensors.html 12.6 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/Project Rubric - Robotic Arm Pick Place.html 12.6 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/10. Reaching Multiple Goals .html 12.6 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/06. Rapidly Exploring Random Tree Method (RRT).html 12.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/19. Control Design Objective and Criteria.html 12.5 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/02. CC++ API.html 12.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/30. TensorFlow Pooling Layer.html 12.5 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/11. Test Your Methods.html 12.5 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/06. Rigid Bodies in Free Space.html 12.5 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/10. Voxel Grid Downsampling.html 12.5 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/09. Robot Motion.html 12.5 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/05. Exploring Gazebo User Interface.html 12.4 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/14. RANSAC Plane Fitting.html 12.4 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/08. Comparing DBSCAN and k-means Clustering.html 12.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. TensorFlow Cross-Entropy.html 12.4 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/04. Collecting your own Data.html 12.4 kB
  • assets/css/fonts/KaTeX_Size2-Regular.ttf 12.4 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/26. MappingLocalization Questions.html 12.4 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/03. Metrics.html 12.4 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/pi-control-slide3.png 12.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/11. Tensorflow Softmax.html 12.4 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/10. Common Questions.html 12.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/15. Rover Control.html 12.4 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/05. Importance of Documentation.html 12.3 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/02. Explore the Simulator.html 12.3 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff2 12.3 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/05. Probabilistic Roadmap (PRM).html 12.3 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/15. SLAM with ROS.html 12.2 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/06. Transistor Switch Circuit.html 12.2 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff 12.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Backpropagation.html 12.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/proportional-control-3-slide3.png 12.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/05. Installing Tensorflow.html 12.1 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/08. Udacity GPU Workspace Introduction.html 12.1 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/18. Common Questions.html 12.0 kB
  • Part 03-Module 01-Lesson 01_Project Introduction/04. Contest Terms Conditions.html 12.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/22. Project Instructions.html 11.9 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/03. Catch Game Sample.html 11.9 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/12. Nonlinear Constraints.html 11.9 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/32. Lab Tensorflow CNN.html 11.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Trick.html 11.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/index.jpg 11.8 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/07. Training and Validation.html 11.8 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/eq3.png 11.8 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/04. Shell Scripts.html 11.8 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/10. Publish Your Point Cloud.html 11.8 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/14. More Decisions.html 11.8 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/13. Project Challenge.html 11.8 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/10. Decision Where to Go.html 11.8 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/05. RViz Integration.html 11.7 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/09. Final Considerations.html 11.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/13. DH Parameter Assignment Algorithm.html 11.7 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/13. IoU Quiz.html 11.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/18. Beyond the Ideal Case - Noise.html 11.7 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/17. Object Recognition.html 11.7 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/12. Ubuntu Install and Common Troubleshooting.html 11.6 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/img/screen-shot-2017-10-27-at-1.49.58-pm.png 11.6 kB
  • Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/img/career-portal-sidebar.png 11.6 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/13. gmapping ROS Package.html 11.6 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/16. Improve Your Model.html 11.6 kB
  • Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt 11.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/03. Approaches to Path Planning.html 11.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/neilsen-pic.png 11.5 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/img/bilinear.png 11.5 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/Project Rubric - Autonomous Systems Interview Practice Project.html 11.5 kB
  • Part 03-Module 01-Lesson 02_Project Details/08. Hints.html 11.4 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/05. Motors and Sensors.html 11.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/Project Rubric - Follow Me.html 11.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/Project Description - Search and Sample Return.html 11.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search.html 11.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/15. Train Your SVM.html 11.3 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/15. DO Lab - Build a Robot Prototype Under $25.html 11.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/10. 3D Configuration Space.html 11.3 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/13. Forward Kinematics with Kuka KR210.html 11.3 kB
  • assets/css/fonts/KaTeX_Size4-Regular.ttf 11.3 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/Project Rubric - Search and Sample Return.html 11.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/14. Finetuning.html 11.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature Map Sizes.html 11.3 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/04. Actor-Critic Quiz.html 11.3 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. DO Lab - Make an Earthworm.html 11.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/08. Proportional Control 3.html 11.2 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot-complete-small.png 11.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/10. PI Control.html 11.1 kB
  • Part 03-Module 01-Lesson 02_Project Details/02. Getting Started.html 11.1 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/05. Sensor Quiz.html 11.1 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/14. Debugging Forward Kinematics.html 11.1 kB
  • Part 02-Module 02-Lesson 01_Inference Development/04. Inference on the Jetson.html 11.0 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/19. TensorFlow Max Pooling.html 11.0 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/10. Lab Decoder.html 11.0 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/07. Joint Types.html 11.0 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/pb69safjwk6kovqq0vfj.png 11.0 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/02. Navigation with Deep RL.html 11.0 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/05. Bayes Filtering.html 10.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/img2017-03-26-20-25-10-378.jpg 10.9 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/21. Breadth-First Search.html 10.9 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/11. Going Above and Beyond - Other RTAB-Map Features.html 10.9 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/11. Inference.html 10.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/22. Depth-First Search.html 10.8 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/28. General Questions.html 10.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/13. Visibility Graph.html 10.8 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/28. Understanding Jupyter Workspaces.html 10.8 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html 10.8 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/09. Pick and Place Demo Walkthrough.html 10.8 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/resistors.png 10.8 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/07. Profile Essentials.html 10.8 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/08. Lab Encoder.html 10.7 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/06. Hello, Tensor World!.html 10.7 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter.html 10.7 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Get Opportunities with LinkedIn.html 10.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/06. Rotations in Sympy.html 10.7 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/04. Collecting your Data.html 10.7 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/03. Telemetry and Record Data.html 10.7 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/08. PR2 Collision Avoidance.html 10.7 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/04. Project Demo.html 10.7 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/11. Pass Through Filtering.html 10.7 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/12. DO Lab .html 10.7 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/13. Multivariate Gaussian.html 10.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/17. TensorFlow Convolution Layer.html 10.6 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/08. Quiz Episodic or Continuing.html 10.6 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/17. Control Engineer Reflection.html 10.6 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/11. WATCH Concepts in Action.html 10.5 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/Project Rubric - 3D Perception.html 10.5 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/12. dynamic_reconfigure.html 10.5 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/08. Introduction to LSTMs.html 10.5 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/15. MappingLocalization Engineer Reflection.html 10.4 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/11. Modeling Virtual Objects.html 10.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/03. Feature Intuition.html 10.4 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/point-xyzrgb-v2.png 10.4 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.4 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/13. Motion Planning Engineer Reflection.html 10.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/09. Udacity Workspace Best Practices.html 10.4 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/11. Deep Learning Engineer Reflection.html 10.3 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/19. My Own Project Reflection.html 10.3 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/11. Hover Controller.html 10.3 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/sensor-specs-3.png 10.3 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/09. Perception Engineer Reflection.html 10.3 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/06. Lab Getting Started.html 10.3 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/07. Gazebo Arm Plugin.html 10.3 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/06. K-means quizzes.html 10.3 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/05. Posterior Probability.html 10.2 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/09. Functions and Data Structures.html 10.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/11. Solution Convolution Output Shape.html 10.2 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/08. Filtering.html 10.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile.html 10.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/02. Applications.html 10.1 kB
  • Part 03-Module 01-Lesson 02_Project Details/06. Submission Instructions.html 10.1 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/02. Practicing the DIGITS Workflow.html 10.1 kB
  • Part 02-Module 05-Lesson 05_DQN Lab/02. PyTorch Intro.html 10.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. Cross-Entropy 2.html 10.1 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/09. Build and Strengthen Your Network.html 10.1 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/02. Setting up your environment.html 10.1 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/02. Examples of Path Planning.html 10.1 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/09. A Visualization.html 10.1 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/07. MCL in Action.html 10.0 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/12. Generate the Map.html 10.0 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/04. Gazebo Basics.html 10.0 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/15. Cell Decomposition.html 10.0 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/02. Why Sample-Based Planning.html 10.0 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/16. 04 Soft Robotics And Food-P7c-c4O4GGA.en.vtt 10.0 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/12. 04 Soft Robotics And Food-P7c-c4O4GGA.en.vtt 10.0 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/04. Fully Connected to 1x1 Convolution.html 10.0 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/15. Extracting Indices.html 10.0 kB
  • Part 01-Module 11-Lesson 02_Networking in Robotics/03. Networking Next Steps.html 10.0 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/13. Environment Setup (Local).html 10.0 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/sensor-specs-1.png 10.0 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/20. Pooling Intuition.html 10.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/27. Lab TensorFlow Neural Network.html 10.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. Discrete vs Continuous.html 9.9 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/04. SpeedAccuracy Tradeoff.html 9.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. Maximum Likelihood.html 9.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/29. Solution TensorFlow Convolution Layer.html 9.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/21. Quiz Pooling Mechanics.html 9.9 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/10. Launching and Testing.html 9.9 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/06. Robot Pose EKF Package .html 9.9 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/16. 3D Data Representations.html 9.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/14. Quiz Parameter Sharing.html 9.8 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/15. Quiz Numerical Stability.html 9.8 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/14. ROS Nodes.html 9.8 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/sensor-specs-2.png 9.8 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/10. WATCH Concepts in Action.html 9.8 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/Project Rubric - Deep RL Arm Manipulation.html 9.8 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/Project Description - Optimize Your GitHub Profile.html 9.7 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/09. Lab Batch Normalization.html 9.7 kB
  • Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.en.vtt 9.7 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/07. Numerical Solution to MLE.html 9.7 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/Project Description - Where Am I.html 9.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile.html 9.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/10. Quiz Convolution Output Shape.html 9.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/12. Quiz Number of Parameters.html 9.7 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/06. Debugging in ROS - rqt common plugins.html 9.7 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/13. Lab Configuration.html 9.7 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/14. DO Lab- Dex-Net 2.0 Code.html 9.7 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/18. Requirements and Challenge.html 9.7 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/11. SVM Intuitions.html 9.7 kB
  • Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/01. 6 Questions on Robotics Careers.html 9.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.en.vtt 9.7 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/20. Additional Resources to Consider.html 9.7 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/06. JetPack.html 9.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. Logistic Regression.html 9.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Log-loss Error Function.html 9.6 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/13. RANSAC Overview.html 9.6 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/01. Project Introduction.html 9.6 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/13. External Libraries.html 9.6 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/04. Equivalent Resistance.html 9.6 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/02. Battery.html 9.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Maximizing Probabilities.html 9.6 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/11. Commit messages best practices.html 9.6 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/11. Inheritance and Pointers.html 9.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/31. Solution TensorFlow Pooling Layer.html 9.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html 9.5 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/05. 1x1 Convolution Quiz .html 9.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/17. Beyond the Ideal Case - Integrator Windup.html 9.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/06. Minkowski Sum.html 9.5 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/03. Quadrotor Quiz.html 9.5 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/11. Filtering and RANSAC.html 9.5 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/03. Classic vs Modern Approach.html 9.4 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/09. Clustering with PCL.html 9.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/17. Measuring Performance.html 9.4 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/04. OpenAI Gym.html 9.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/25. Overall Concerns.html 9.4 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/02. Amazon Robotics Challenge.html 9.4 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/10. Adapting FastSLAM to Grid Maps.html 9.4 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/14. Positional Controller.html 9.4 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/12. Putting it all Together.html 9.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1.html 9.4 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/05. Generalized Coordinates.html 9.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/14. Voronoi Diagram.html 9.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/02. Setting up your Local Environment.html 9.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.pt-BR.vtt 9.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/25. State-Value Functions.html 9.4 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/09. FastSLAM Instances.html 9.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/10. Classes and Objects.html 9.3 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/19. Inverse Kinematics Example.html 9.3 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/14. Multi Sensor Fusion.html 9.3 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/1.png 9.3 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/05. Essential Elements of Robotics.html 9.3 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/03. Full SLAM.html 9.3 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/18. RTAB-Map Optimization and Output.html 9.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color.html 9.3 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn3.gif 9.3 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/img/2.png 9.3 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. A3C.html 9.3 kB
  • Part 01-Module 06-Lesson 02_Product Pitch/02. Anatomy of a Product Pitch.html 9.3 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/12. Common Questions.html 9.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. Feedforward.html 9.2 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/09. Normals Intuition.html 9.2 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/09. Rviz Package.html 9.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/23. Pooling Practice.html 9.2 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/07. RTAB-Map Visualization Tools - Database Viewer.html 9.2 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/10. Point Cloud Types.html 9.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/33. GPU Workspace Introduction.html 9.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/15. 05 Soft Robotics Process-3FJ5mXcBHwM.en.vtt 9.2 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/11. 05 Soft Robotics Process-3FJ5mXcBHwM.en.vtt 9.2 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/02. Online SLAM.html 9.2 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/11. Grid-based FastSLAM Techniques.html 9.2 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/16. Outlier Removal Filter.html 9.2 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/05. Use Your Elevator Pitch on LinkedIn.html 9.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/08. Self Folding Robots.html 9.2 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/07. Computing the Posterior .html 9.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Classification Problems 1.html 9.2 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/08. Work Experiences Accomplishments.html 9.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. Higher Dimensions.html 9.2 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/04. Nature of SLAM.html 9.2 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/05. Challenges in RL Navigation.html 9.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/21. Multi-Class Cross Entropy.html 9.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/codecogseqn-60-2.png 9.2 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/13. Recognition Exercise.html 9.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/35. CNNs - Additional Resources.html 9.1 kB
  • Part 01-Module 03-Lesson 01_GitHub/10. Commit messages best practices.html 9.1 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-4.png 9.1 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/led-circuit-schematic2.png 9.1 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/04. Recap and Task List.html 9.1 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/04. Debugging in ROS - Transform Frames.html 9.1 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/06. SLAM Challenges.html 9.1 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/13. Attitude Controller.html 9.1 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/05. Host Setup.html 9.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/09. Tabletop Segmentation Exercise.html 9.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/30. Quiz Action-Value Functions.html 9.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/24. Average Pooling.html 9.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/34. Jupyter Workspace - CNN.html 9.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/07. Combining Hard and Soft Robots.html 9.1 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/Project Description - 3D Perception.html 9.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/12. Motion Planning Engineer Interview-BAD3ijRnZ0U.en.vtt 9.0 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/05. Debugging in ROS - roswtf.html 9.0 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/15. Take Action!.html 9.0 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/08. Convolutions continued.html 9.0 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/09. Testing Navigation.html 9.0 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/15. Lab Summary.html 8.9 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/10. Main Launch.html 8.9 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/06. Create Your Profile With SEO In Mind.html 8.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/22. Solution Pooling Mechanics.html 8.9 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/05. Untethered Soft Robot .html 8.9 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/01. Overview.html 8.9 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/07. Transition to Classification.html 8.9 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/03. Challenges and Difficulties.html 8.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/29. Action-Value Functions.html 8.9 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/img/screen-shot-2018-04-20-at-2.37.58-pm.png 8.9 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/09. Translations.html 8.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/14. Discounted Return.html 8.8 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro To CNNs.html 8.8 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/12. The Grid-based FastSLAM Algorithm.html 8.8 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-2.55.12-pm.png 8.8 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/10. Reaching Out on LinkedIn.html 8.8 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/07. Lab Keras.html 8.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/06. Perceptrons.html 8.8 kB
  • Part 03-Module 01-Lesson 02_Project Details/01. Project Specification.html 8.8 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/15. Solution Parameter Sharing.html 8.8 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/14. Common Questions.html 8.8 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/11. State Prediction.html 8.8 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/02. Q-Learning Algorithm.html 8.7 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/09. 1-D to n-D.html 8.7 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/05. Search and Rescue.html 8.7 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/07. Testing SLAM.html 8.7 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/07. Quiz Minkowski Sum.html 8.7 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/01. Overview.html 8.7 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/06. Design and Fabrication.html 8.7 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/17. RTAB-Map Memory Management.html 8.7 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/05. Cascade PID Control.html 8.7 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/21. Lab Tensorflow Deep Neural Network.html 8.7 kB
  • Part 01-Module 11-Lesson 02_Networking in Robotics/02. Companies to Know.html 8.7 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/02. This Week's Schedule.html 8.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries.html 8.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/beyond-the-ideal-case-slide1.png 8.7 kB
  • Part 02-Module 05-Lesson 02_RL Basics/11. Goals and Rewards, Part 2.html 8.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore The Design Space.html 8.7 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/08. Transposed Convolution Quiz.html 8.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance.html 8.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/04. Convolutional Networks.html 8.7 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/12. Clustering Objects.html 8.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories.html 8.7 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/03. LED Circuit.html 8.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/13. Solution Number of Parameters.html 8.6 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/11. Graphing.html 8.6 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/01. Project Intro.html 8.6 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/03. Introduction to Project Tools.html 8.6 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/04. Soft Robotics A Perspective.html 8.6 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/06. Proportional Control 1.html 8.6 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/08. Principal Types of Serial Manipulators.html 8.6 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/13. Meet Kaijen Hsiao.html 8.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/25. 1x1 Convolutions.html 8.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module.html 8.6 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/19. Quiz Validation Set Size.html 8.6 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/05. Additional Project Challenges.html 8.6 kB
  • Part 01-Module 01-Lesson 01_Welcome/07. Class Schedule.html 8.6 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/13. Cluster Visualization.html 8.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.zh-CN.vtt 8.6 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/06. Learning Hand-Eye Grasping.html 8.6 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/03. Uncanny Valley.html 8.5 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/09. Oribotics.html 8.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/12. Roadmap.html 8.5 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/06. Building your Segmentation Network.html 8.5 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/29. Jupyter Workspace - TensorFlow.html 8.5 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/04. Jamming-based Gripper.html 8.5 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/05. Correspondence.html 8.5 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/05. Job Descriptions.html 8.5 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/08. WATCH Concepts in Action.html 8.5 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/10. DO Lab - Create a Swarm.html 8.5 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/06. MCL The Algorithm .html 8.5 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/14. Value Iteration Algorithm.html 8.4 kB
  • Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.zh-CN.vtt 8.4 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/11. Meet Josh Lessing.html 8.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/04. Reference Guide.html 8.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/Project Description - Follow Me.html 8.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. 21 CrossEntropy Formula-azXzz_zgiac.en.vtt 8.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/14. Generate Features.html 8.4 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/05. Dex-Net 2.0.html 8.4 kB
  • Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/02. Setting Goals.html 8.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/06. Editor Choice.html 8.4 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/05. Human Trajectory Prediction in Crowded Spaces.html 8.4 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/01. Introduction.html 8.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/01. Introduction.html 8.4 kB
  • assets/css/fonts/KaTeX_Size3-Regular.ttf 8.4 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/36. CNNs Wrapup.html 8.3 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/07. Requirements and Challenge.html 8.3 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/06. Localization Map.html 8.3 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/03. Passive Sensors.html 8.3 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/point-normal-3.png 8.3 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/06. Optional Deploying your Inference Project .html 8.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What is Deep Learning.html 8.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/04. Let's Get Started!.html 8.3 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/08. RTAB-Map Visualization Tools - rtabmapviz.html 8.3 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/08. Resampling.html 8.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. Practical Aspects of Learning.html 8.2 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/09. Cheetah Locomotion.html 8.2 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/Project Description - Map My World Robot.html 8.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/13. 02 Materials And Actuators-2H8rIBcDOr4.en.vtt 8.2 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/10. 02 Materials And Actuators-2H8rIBcDOr4.en.vtt 8.2 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/17. Regularization Quiz.html 8.2 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/03. GPIO.html 8.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/19. Graph Search.html 8.2 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/05. Workspace Playground.html 8.2 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-1.png 8.2 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/09. What is a Point Cloud.html 8.2 kB
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories.html 8.2 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/01. What Is A Robot-MooPT63kaMc.en.vtt 8.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/16. Normalized Inputs and Initial Weights.html 8.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/21. Optimizing a Logistic Classifier.html 8.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/20. Terminology.html 8.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. Momentum and Learning Rate Decay.html 8.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/19. Cross-Entropy 1.html 8.2 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/04. One Piece of the Puzzle.html 8.2 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/08. Introduction to FastSLAM.html 8.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier.html 8.2 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/06. Robot Ethics.html 8.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/14. Discounted Return-opXGNPwwn7g.pt-BR.vtt 8.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/codecogseqn-43.gif 8.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big and Small.html 8.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/eq6.png 8.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/22. Stochastic Gradient Descent.html 8.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/30. Further Reading.html 8.1 kB
  • Part 02-Module 05-Lesson 04_Deep RL/02. From RL to Deep RL.html 8.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/07. Robot Ethics from Philosophy of Science.html 8.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. Minimizing Cross Entropy.html 8.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/18. Validation and Test Set Size.html 8.1 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/18. My Project-bGw6DLQohCE.en.vtt 8.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/08. Classification.html 8.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks.html 8.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. Parameter Hyperspace! .html 8.1 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/07. Path Smoothing.html 8.1 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Use Your Story to Stand Out.html 8.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/08. WATCH Concepts in Action.html 8.1 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/05. Continuous Representation.html 8.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1.html 8.1 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/08. Software Control.html 8.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/09. Let's make a deal.html 8.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/17. 06 State And Future Of Soft Robotics-nNcIRmtTyek.en.vtt 8.1 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/05. Tradeoff Quiz.html 8.1 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/Project Description - Autonomous Systems Interview Practice Project.html 8.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2.html 8.1 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/14. MappingLocalization Engineer.html 8.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/05. The Setting, Revisited.html 8.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/22. DO Lab - Metamaterials.html 8.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/04. Designing Robot Heads.html 8.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/09. The Reward Hypothesis.html 8.0 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/11. Meet Cory Kidd.html 8.0 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/11. Lab Layer Concatenation.html 8.0 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/11. Boost Your Visibility.html 8.0 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/04. RGB-D Cameras.html 8.0 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/06. READ Research Papers.html 8.0 kB
  • Part 02-Module 02-Lesson 01_Inference Development/05. Deploy the Model.html 8.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/12. Motion Planning Engineer.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/13. Cumulative Reward.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example.html 8.0 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/06. Extrinsic Calibration.html 8.0 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/07. Transposed Convolutions.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies.html 8.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/10. Deep Learning Engineer.html 8.0 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/07. Environment Setup.html 8.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/08. Perception Engineer.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/17. MDPs, Part 2.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3.html 8.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/16. Control Engineer.html 8.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/01. Welcome to the Course!.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/03. The Setting.html 8.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/07. Why Neural Networks.html 8.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/06. Research the Company.html 8.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/07. Let's Get Started.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/28. Optimality.html 8.0 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/03. Working with the Simulator.html 8.0 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/07. SSH from Host.html 8.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/22. Policies.html 8.0 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/06. Grid Cells.html 8.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/25. Non-Linear Regions.html 7.9 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/21. Final Thoughts.html 7.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/04. Classification Problems 2.html 7.9 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/09. Sample-Based Planning Wrap-Up.html 7.9 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/06. 2-Layer Neural Network.html 7.9 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/04. Sample-Based Planning.html 7.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/26. Non-Linear Models.html 7.9 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/18. My Own Project.html 7.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/16. One-Hot Encoding.html 7.9 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/02. Open-Loop Control.html 7.9 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/02. Job Titles.html 7.9 kB
  • Part 01-Module 11-Lesson 02_Networking in Robotics/01. Skills Recap.html 7.9 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/01. Introduction.html 7.9 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/03. Your Part.html 7.9 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/12. PD Control.html 7.9 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/03. READ Research Papers.html 7.9 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/10. Quiz Reachable Workspace.html 7.9 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/04. Quiz Rectified Linear Units.html 7.9 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/07. WATCH Concepts in Action.html 7.9 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/20. Validation Set Size Continued.html 7.9 kB
  • Part 03-Module 01-Lesson 01_Project Introduction/01. Welcome!.html 7.8 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/09. Meet Andra Keay.html 7.8 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages.html 7.8 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/15. Introduction to 3D Mapping.html 7.8 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/01. Introducing Vincent!.html 7.8 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/02. Getting Started.html 7.8 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/10. OpenRatSLAM.html 7.8 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/03. Environment Setup.html 7.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-5.png 7.8 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/16. Introduction to EKF.html 7.8 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/07. Slip Detection and Correction.html 7.8 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/19. Meet Rajat Mishra.html 7.8 kB
  • Part 03-Module 01-Lesson 02_Project Details/04. Path Planning.html 7.8 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/02. Quiz Number of Parameters.html 7.8 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/20. Project Guide.html 7.8 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/08. Compile and Execute.html 7.8 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/04. Mapping with Known Poses.html 7.8 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/Project Description - Deep RL Arm Manipulation.html 7.7 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/08. Overall Concerns.html 7.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/02. Intro to Neural Networks.html 7.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/31. Neural Networks Wrap Up.html 7.7 kB
  • Part 01-Module 01-Lesson 01_Welcome/05. Community Code of Conduct.html 7.7 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/09. Common Questions.html 7.7 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Create Your Elevator Pitch.html 7.7 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/01. Introduction to Path Planning.html 7.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/01. Introducing Luis!.html 7.7 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/05. TurtleBot Gazebo Package.html 7.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/12. Error Functions.html 7.7 kB
  • Part 01-Module 01-Lesson 01_Welcome/04. Student Services.html 7.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/17. Next Steps.html 7.7 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/12. Template Classes.html 7.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/07. Proportional Control 2.html 7.6 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/08. Robotic Insect.html 7.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Description - Improve Your LinkedIn Profile.html 7.6 kB
  • Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2.html 7.6 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/07. Variable Resistors.html 7.6 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/10. Completing PID Controller.html 7.6 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/06. Building Editor.html 7.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/12. Up Next.html 7.6 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/05. Lab Semantic Segmentation.html 7.6 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects.html 7.6 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/15. 3D SLAM With RTAB-Map.html 7.6 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/11. Outro.html 7.5 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/08. Adding Depth.html 7.5 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/Project Description - Home Service Robot .html 7.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/formula.png 7.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/22. Jupyter Workspace - DNN.html 7.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items.html 7.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/03. The Setting-nh8Gwdu19nc.pt-BR.vtt 7.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction.html 7.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter.html 7.5 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/09. Binary Bayes Filter Algorithm.html 7.5 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/04. Kilobots.html 7.5 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/07. RGBD Calibration in ROS.html 7.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/17. MDPs, Part 2-CUTtQvxKkNw.pt-BR.vtt 7.4 kB
  • Part 01-Module 06-Lesson 02_Product Pitch/01. Pitching Your Robot Prototype.html 7.4 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/06. Self-Assembly Swarm Robots.html 7.4 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/09. Meet Josh Lessing.html 7.4 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/13. Testing your Model in the Simulator.html 7.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/05. HSV Intuitions.html 7.4 kB
  • Part 01-Module 01-Lesson 01_Welcome/06. Deadline Policy.html 7.4 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/03. Weakening Requirements.html 7.4 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/07. Biologically Inspired Approaches.html 7.4 kB
  • Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages.html 7.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.4 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/eq3.png 7.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/example-grid1.jpg 7.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/18. Discretization Wrap-Up.html 7.4 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/06. Project Environment.html 7.4 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/Project Description - Robotic Inference.html 7.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.3 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/04. Jupyter Notebook.html 7.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro.html 7.3 kB
  • Part 02-Module 05-Lesson 02_RL Basics/14. Discounted Return-opXGNPwwn7g.en.vtt 7.3 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/02. Intro to Kinematics.html 7.3 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/03. Picking your Robotic Inference Idea.html 7.3 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/20. Exclusive Rajat Mishra.html 7.3 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/07. Odometry to Trajectory Package.html 7.3 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2.html 7.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/16. Introduction to EKF-dwpKthaQ6ts.en.vtt 7.3 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/03. Swarm Robots in Medicine.html 7.3 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/01. Introduction.html 7.3 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/12. Online Rover Lab.html 7.3 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/14. Lab Challenge .html 7.3 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/official-unity-logo.png 7.3 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/img/screen-shot-2018-04-20-at-2.43.34-pm.png 7.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/27. Discrete Planning Wrap-Up.html 7.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/09. Translation and Rotation.html 7.3 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/02. Working Environment .html 7.3 kB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/02. Deep RL in Robotics.html 7.3 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/15. PID Control Summary.html 7.3 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/13. Udacity Workspace.html 7.2 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/10. Going Above and Beyond - Localization.html 7.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/26. Graph-Search Wrap-Up.html 7.2 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons.html 7.2 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/02. Importance of Mapping.html 7.2 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/02. READ Research Papers.html 7.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/04. Discrete Planning.html 7.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/03. The Setting-nh8Gwdu19nc.en.vtt 7.2 kB
  • Part 03-Module 01-Lesson 02_Project Details/05. Project Workspace.html 7.2 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/02. Graphs.html 7.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/01. Introduction.html 7.2 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/10. Information Matrix and Vector.html 7.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1.html 7.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2.html 7.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3.html 7.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/11. Discretization.html 7.2 kB
  • Part 01-Module 03-Lesson 01_GitHub/16. Next Steps.html 7.2 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/11. KR210 Forward Kinematics 2.html 7.2 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/12. KR210 Forward Kinematics 3.html 7.2 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/07. Hello, World!.html 7.2 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/03. An Overview of Grasping.html 7.2 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/10. KR210 Forward Kinematics 1.html 7.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository.html 7.2 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/img/angle-example.jpg 7.2 kB
  • Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/02. Applications.html 7.2 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/02. Coordinate Frames and Vectors.html 7.2 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/12. Training a Deep Learning Network.html 7.2 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/07. Comparison.html 7.2 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/01. Intro to Deep Neural Networks.html 7.1 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/05. Connect the LED Circuit.html 7.1 kB
  • Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects.html 7.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/17. Exclusive The Future of Soft Robots.html 7.1 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models are Limited.html 7.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/18. Exclusive Getting Started in Soft Robotics.html 7.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes #1.html 7.1 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/01. Overview.html 7.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/14. Exclusive What Does Soft Robots Inc. Do.html 7.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/08. Point Cloud Filtering.html 7.1 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/03. Power of MCL.html 7.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/13. Exclusive What is Soft Robotics.html 7.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/16. Exclusive Soft Robots and Food.html 7.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/16. Limitations of PID.html 7.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/12. Exclusive Getting Started in Robotics.html 7.1 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/15. Exclusive Our Process.html 7.1 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/13. Graph-SLAM at a Glance.html 7.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/01. Overview of Controls Engineering.html 7.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/19. Dropout Pt. 2.html 7.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items.html 7.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/16. Regularization.html 7.0 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/05. Your Udacity Profile.html 7.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/01. Introduction.html 7.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter.html 7.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/09. The Chain Rule.html 7.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/10. Backprop.html 7.0 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/02. What's a Kalman Filter.html 7.0 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-8.png 7.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout.html 7.0 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-2.png 7.0 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/04. Breadboard.html 7.0 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/03. Closed-Loop Control.html 7.0 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff 7.0 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/13. Udacity Workspace.html 7.0 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/08. Meet Sabine Hauert.html 7.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/17. MDPs, Part 2-CUTtQvxKkNw.en.vtt 7.0 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/01. Introduction.html 7.0 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/04. PID Overview.html 6.9 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/06. Lab Walkthrough.html 6.9 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/05. Network of ReLUs.html 6.9 kB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges.html 6.9 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/23. Wrap Up.html 6.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.9 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/03. IMU.html 6.9 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/10. Workspace - Follow Me.html 6.9 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/07. Particle Filter Approach to SLAM.html 6.9 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/16. Feedback Survey.html 6.9 kB
  • Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2.html 6.9 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/02. READ Research Papers.html 6.9 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/03. Knowledge.html 6.9 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/14. Project Workspace.html 6.8 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/01. Introduction.html 6.8 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/diagonal-line-2.png 6.8 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/09. Designing 1D Kalman Filters.html 6.8 kB
  • Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1.html 6.8 kB
  • Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2.html 6.8 kB
  • Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3.html 6.8 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/07. Connect the Transistor Circuit.html 6.8 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/14. Udacity Workspace.html 6.8 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/01. Introduction.html 6.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository.html 6.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/01. Setting up the Problem.html 6.7 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/03. Jetson Developer Kit Board.html 6.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/04. Rotation Matrices in 3D.html 6.7 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/15. 14 Rover Controls-c5Rt94YyQm0.en.vtt 6.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/14. DH Steps 1-4.html 6.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/15. DH Steps 5-8.html 6.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/16. DH Parameter Table.html 6.7 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/series-resistors.png 6.7 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/07. DIGITS Workspace.html 6.7 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/05. Variations.html 6.7 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff 6.7 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Why Use an Elevator Pitch.html 6.7 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/09. Transposed Convolution Quiz Solution.html 6.7 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/01. Overview of the Project.html 6.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes #1.html 6.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/20. Wrap Up.html 6.6 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/xyzi-table.png 6.6 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/11. Rqt Multiplot.html 6.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/07. Composition Of Rotations-gDROQkL6sdY.en.vtt 6.6 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/15. Jupyter Workspace - Semantic Segmentation.html 6.6 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/17. Octomap.html 6.6 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/03. Udacity Workspace.html 6.6 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/05. Ubuntu Setup.html 6.6 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/16. Challenge!.html 6.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/index.html 6.5 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/03. Catkin Workspace.html 6.5 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/08. TurtleBot Teleop Package.html 6.5 kB
  • Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network-GgtR_d1OB-M.pt-BR.vtt 6.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/11. Goals and Rewards, Part 2-pVIFc72VYH8.pt-BR.vtt 6.5 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/14. Intro to 3D SLAM With RTAB-Map.html 6.5 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.ar.vtt 6.5 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/03. Meet the Careers Team.html 6.5 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/14. 03 Soft Robotics Profile-927eDRsVySE.en.vtt 6.5 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/10. Exclusive Silicon Valley Robotics.html 6.5 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff 6.5 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/04. Student Hub.html 6.5 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/01. Intro to Calibration, Filtering, and Segmentation.html 6.4 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/parallel-resistors.png 6.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/03. Overview.html 6.4 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-2.50.16-pm.png 6.4 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/12. Exclusive Catalia Health.html 6.4 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/14. Exclusive Mayfield Robotics .html 6.4 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/01. Introduction to Sample-Based Probabilistic Path Planning.html 6.4 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/04. Front-End vs Back-End.html 6.4 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/08. Mid-Lesson Overview.html 6.4 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/16. Visual Bag-of-Words.html 6.4 kB
  • Part 01-Module 12-Lesson 08_Term 1 Outro/01. Term 1 Outro V2-YHlnUpIgWTc.en.vtt 6.4 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/02. READ Research Papers.html 6.4 kB
  • Part 01-Module 06-Lesson 02_Product Pitch/03. Showcasing Your Work.html 6.4 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/17. Summary.html 6.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/01. Intro to Object Recognition.html 6.4 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/03. Objectives.html 6.4 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/aaeaaqaaaaaaaa2baaaajdc1zdg4zdy4ltkzmjktndq4yi05yzrjltziztyxntvkowe2mg.png 6.4 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/aaeaaqaaaaaaaa2baaaajdc1zdg4zdy4ltkzmjktndq4yi05yzrjltziztyxntvkowe2mg.png 6.4 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/01. Introduction.html 6.4 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/04. Particle Filters.html 6.4 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/03. Constraints.html 6.4 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/10. Introduction to Probabilistic Path Planning.html 6.4 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/12. Segmentation in Perception.html 6.4 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/14. Intro to Multidimensional KF.html 6.4 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/13. DO Challenge- Build a Gripper.html 6.4 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/04. K-means Clustering.html 6.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/18. Recognition Wrap-up.html 6.4 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/12. Udacity Workspace.html 6.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/06. Color Histograms.html 6.4 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/15. Probabilistic Path Planning Wrap-Up.html 6.3 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/03. RGB Camera Model.html 6.3 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/10. Deep Learning Engineer Interview-EcIwpFM-UYQ.en.vtt 6.3 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/19. Outro.html 6.3 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/08. Surface Normals.html 6.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/07. Kalman Filter Advantage.html 6.3 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/02. Sensor Calibration.html 6.3 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/04. Access Your Career Portal.html 6.3 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/04. Color Spaces.html 6.3 kB
  • Part 02-Module 05-Lesson 05_DQN Lab/01. Introduction.html 6.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/06. Robot Uncertainty.html 6.3 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/02. Features.html 6.3 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/04. Udacity Workspace.html 6.3 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/01. Welcome.html 6.3 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/01. Introduction to a Positional Controller.html 6.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/04. Applications.html 6.3 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/index.html 6.3 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/02. Meet Arpan Chakraborty.html 6.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/01. Overview.html 6.3 kB
  • Part 03-Module 01-Lesson 01_Project Introduction/02. Meet KIT and KUKA.html 6.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/19. Recap.html 6.2 kB
  • Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/03. Resources in Your Career Portal.html 6.2 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/15. C2L2 A15 V3-K-FobmdRMtI.en.vtt 6.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/codecogseqn-6.gif 6.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/eq4.png 6.2 kB
  • Part 03-Module 01-Lesson 02_Project Details/03. Scoring Criteria.html 6.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/03. The Setting-nh8Gwdu19nc.zh-CN.vtt 6.2 kB
  • Part 03-Module 01-Lesson 01_Project Introduction/03. Project Overview.html 6.2 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/16. PID Wrap Up.html 6.2 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/03. History.html 6.2 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/18. Outro.html 6.2 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/normal-table.png 6.1 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/06. 1x1 Convolution Quiz Solution.html 6.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/13. Cumulative Reward-ysriH65lV9o.pt-BR.vtt 6.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/index.html 6.1 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/07. RGB Image Formation.html 6.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/14. Discounted Return-opXGNPwwn7g.zh-CN.vtt 6.1 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/10. Udacity Workspace.html 6.1 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/10. Exclusive What is Soft Robotics.html 6.1 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/12. Exclusive Soft Robots and Food.html 6.1 kB
  • Part 02-Module 05-Lesson 04_Deep RL/06. Fixed Q Targets-SWpyiEezfp4.pt-BR.vtt 6.1 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/02. What's MCL.html 6.1 kB
  • Part 02-Module 08-Lesson 01_Completing the Program/03. What's next after RoboND.html 6.1 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/02. Why Fully Convolutional Networks (FCNs) .html 6.1 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/03. Semantic Segmentation.html 6.1 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/11. Exclusive Our Process.html 6.1 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/04. Scene Understanding.html 6.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt 6.0 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/16. Outro.html 6.0 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/02. Bounding Boxes.html 6.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/index.html 6.0 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/01. Introducing Karim.html 6.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/17. 20 L Measuring Performance-xKn8IWxk_-U.en.vtt 6.0 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/03. Fully Convolutional Networks.html 6.0 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/06. Project Workspace.html 6.0 kB
  • Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network-GgtR_d1OB-M.en.vtt 6.0 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/05. Test the API Workspace.html 6.0 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/01. Introduction.html 6.0 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/04. Transitioning.html 6.0 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/02. Downside of Model Fitting.html 6.0 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/01. Object Segmentation.html 6.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/index.html 6.0 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/01. Overview.html 6.0 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/02. Welcome! .html 6.0 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/12. IoU.html 6.0 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/14. Segmentation Summary.html 6.0 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/03. Closed-Loop Control-6R5YT5xgYak.en.vtt 6.0 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/04. 无人驾驶车介绍：Jupyter Notebook -0-5VG9FsdQ0.en.vtt 5.9 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/03. Clustering.html 5.9 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/10. Skip Connections.html 5.9 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/11. FCNs In The Wild.html 5.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/05. The Setting, Revisited-V6Q1uF8a6kA.pt-BR.vtt 5.9 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/01. Introduction.html 5.9 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/14. Outro.html 5.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/diagonal-line-1.png 5.9 kB
  • Part 02-Module 05-Lesson 04_Deep RL/03. DQN Overview.html 5.9 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/01. Intro.html 5.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/11. Goals and Rewards, Part 2-pVIFc72VYH8.en.vtt 5.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/17. MDPs, Part 2-CUTtQvxKkNw.zh-CN.vtt 5.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt 5.8 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/12. Outro.html 5.8 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/16. Control Engineer Interview-6Wi9HBIXcpg.en.vtt 5.8 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/03. Actuation.html 5.8 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff2 5.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt 5.8 kB
  • Part 02-Module 02-Lesson 01_Inference Development/06. Lab Nvidia Deployment.html 5.8 kB
  • Part 02-Module 02-Lesson 01_Inference Development/03. Lab Nvidia DIGITS.html 5.8 kB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/01. Introduction.html 5.8 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/12. Outro.html 5.8 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/01. Intro.html 5.8 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/05. Control.html 5.8 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/05. Job Descriptions-mMlV_tludkw.en.vtt 5.8 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/04. Vision.html 5.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt 5.7 kB
  • Part 02-Module 05-Lesson 02_RL Basics/05. The Setting, Revisited-V6Q1uF8a6kA.en.vtt 5.7 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/point-xyz-560-table.png 5.7 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/11. Project Summary.html 5.7 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/01. Project Intro.html 5.7 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/08. Recap.html 5.7 kB
  • Part 02-Module 08-Lesson 01_Completing the Program/02. Autonomous Systems Interview.html 5.7 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/12. 3D Perception Summary.html 5.7 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/05. Class Schedule.html 5.7 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/05. Q-Learning Notebook.html 5.7 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/01. Introduction.html 5.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-7.png 5.7 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/01. Overview.html 5.7 kB
  • Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay.html 5.7 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/01. Introduction.html 5.6 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/13. Images.html 5.6 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/01. 3D Perception.html 5.6 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/index.html 5.6 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/14. Outro.html 5.6 kB
  • Part 02-Module 05-Lesson 05_DQN Lab/03. PyTorch Part 1.html 5.6 kB
  • Part 02-Module 05-Lesson 05_DQN Lab/04. PyTorch Part 2.html 5.6 kB
  • Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network.html 5.6 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/01. What It Takes.html 5.6 kB
  • Part 02-Module 05-Lesson 05_DQN Lab/05. DQN Notebook.html 5.6 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/06. Why RGB-D.html 5.6 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/02. Sensor Fusion.html 5.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/index.html 5.6 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/01. Introduction.html 5.6 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/eq1.png 5.6 kB
  • Part 02-Module 02-Lesson 01_Inference Development/02. Nvidia DIGITS-r-GkoqePIys.en.vtt 5.6 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/14. Intro to Multidimensional KF-9Xb5WavDqKE.en.vtt 5.6 kB
  • Part 01-Module 01-Lesson 01_Welcome/02. Meet Your Instructors.html 5.6 kB
  • Part 01-Module 12-Lesson 08_Term 1 Outro/02. Autonomous Systems Interview.html 5.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/22. Policies-hc3LrvaC13U.pt-BR.vtt 5.6 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff2 5.6 kB
  • Part 02-Module 05-Lesson 04_Deep RL/06. Fixed Q Targets.html 5.6 kB
  • Part 02-Module 05-Lesson 04_Deep RL/06. Fixed Q Targets-SWpyiEezfp4.en.vtt 5.6 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/09. Exclusive Sabine Hauert.html 5.5 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/index.html 5.5 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/01. Overview.html 5.5 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/04. Rotations In 3D-PWeLcv3EaTA.en.vtt 5.5 kB
  • Part 01-Module 01-Lesson 06_Get Help with Your Account/01. FAQ.html 5.5 kB
  • Part 01-Module 01-Lesson 01_Welcome/08. Let's Get Started!.html 5.5 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/01. Introduction.html 5.5 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/camera-plane-539.png 5.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt 5.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/13. Cumulative Reward-ysriH65lV9o.en.vtt 5.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/24. 02 A104 A Search V5-i6OQJIFL9dA.en.vtt 5.5 kB
  • Part 03-Module 01-Lesson 02_Project Details/11. Contest Maze Leaderboard.html 5.5 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/01. Introduction.html 5.5 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/02. Reviews.html 5.5 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/img/screen-shot-2018-04-04-at-2.39.43-pm.png 5.5 kB
  • Part 03-Module 01-Lesson 02_Project Details/09. Maze #1 Leaderboard.html 5.5 kB
  • Part 03-Module 01-Lesson 02_Project Details/10. Maze #2 Leaderboard.html 5.5 kB
  • Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt 5.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt 5.5 kB
  • Part 03-Module 01-Lesson 02_Project Details/07. Project Walkthrough.html 5.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/index.html 5.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/29. Action-Value Functions-KJLaRfOOPGA.pt-BR.vtt 5.4 kB
  • Part 01-Module 01-Lesson 01_Welcome/img/screen-shot-2018-12-04-at-2.27.26-pm.png 5.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Combinando modelos-Boy3zHVrWB4.en.vtt 5.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/04. 无人驾驶车介绍：Jupyter Notebook -0-5VG9FsdQ0.zh-CN.vtt 5.4 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/img/transposed-conv.png 5.4 kB
  • Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network-GgtR_d1OB-M.zh-CN.vtt 5.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/25. State-Value Functions-llakAjwox_8.pt-BR.vtt 5.4 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/06. Robot Uncertainty-5NAb2iyu2uo.en.vtt 5.4 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/index.html 5.4 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/05. Understanding Unified Robot Description Format-7Ot8UURxQdg.en.vtt 5.4 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/07. Perspective Transform-DQUkU-VaMXI.en.vtt 5.3 kB
  • Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/01. Lesson Overview.html 5.3 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/22. Miura Ori HS V3-bNFtPHYuODY.en.vtt 5.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. Error Function-V5kkHldUlVU.pt-BR.vtt 5.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/index.html 5.3 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/11. Kuka KR210 Forward Kinematics Part 02-CNQ9CE_itBg.en.vtt 5.3 kB
  • Part 01-Module 01-Lesson 01_Welcome/03. Projects You Will Build.html 5.3 kB
  • Part 01-Module 01-Lesson 01_Welcome/01. The World of Robotics.html 5.3 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/09. Recap.html 5.3 kB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/01. Localization in Robotics.html 5.3 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.ar.vtt 5.3 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/index.html 5.3 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.3 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/03. Challenges and Difficulties -nSNTCJtuO38.en.vtt 5.3 kB
  • Part 02-Module 05-Lesson 04_Deep RL/01. Introduction.html 5.2 kB
  • Part 02-Module 04-Lesson 05_Project Map My World Robot/index.html 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/01. Overview.html 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/08. Ultrasonic .html 5.2 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/01. Overview.html 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/09. Encoders.html 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/02. Cameras.html 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/10. Recap .html 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/04. RADAR.html 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/05. LIDAR.html 5.2 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/06. Rapidly Exploring Random Tree(PRT)-kOS76UR7Fo8.en.vtt 5.2 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/index.html 5.2 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff2 5.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/28. Optimality-j231aRV74QM.pt-BR.vtt 5.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt 5.2 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/06. IR.html 5.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.2 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/09. Recap.html 5.2 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/img/udacityworld.jpg 5.2 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/02. Jetson Overview.html 5.2 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/01. Introduction.html 5.1 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/04. Jetson Setup.html 5.1 kB
  • Part 01-Module 01-Lesson 06_Get Help with Your Account/02. Support.html 5.1 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/08. Outro.html 5.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt 5.1 kB
  • Part 02-Module 02-Lesson 01_Inference Development/02. DIGITS MINST Example.html 5.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/11. Goals and Rewards, Part 2-pVIFc72VYH8.zh-CN.vtt 5.1 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/08. Recap.html 5.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt 5.1 kB
  • Part 02-Module 02-Lesson 01_Inference Development/01. Overview.html 5.1 kB
  • Part 02-Module 02-Lesson 01_Inference Development/07. Recap.html 5.1 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/01. Careers in Robotics.html 5.0 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.en.vtt 5.0 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/02. Embedded Examples.html 5.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. Error Function-V5kkHldUlVU.en.vtt 5.0 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/index.html 5.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/index.html 5.0 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/index.html 5.0 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/index.html 5.0 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/03. LED Circuit-LpljUGQJkh0.en.vtt 5.0 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/index.html 5.0 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/01. Overview.html 5.0 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/02. Design Review.html 5.0 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/12. 01 Intro-Career 1-ZLwtRdZYORg.en.vtt 4.9 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/06. Recap.html 4.9 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/index.html 4.9 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/index.html 4.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.en.vtt 4.9 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/index.html 4.9 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/01. What is a Robot.html 4.9 kB
  • Part 02-Module 05-Lesson 04_Deep RL/07. Recap.html 4.9 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/03. Decision Making.html 4.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/05. The Setting, Revisited-V6Q1uF8a6kA.zh-CN.vtt 4.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/22. Policies-hc3LrvaC13U.en.vtt 4.9 kB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/03. Lesson Roadmap.html 4.9 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/06. Recap.html 4.9 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/05. Probabilistic Roadmap (PRM)-hs9Xkujs-5M.en.vtt 4.9 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/02. Perception.html 4.9 kB
  • Part 02-Module 05-Lesson 04_Deep RL/06. Fixed Q Targets-SWpyiEezfp4.zh-CN.vtt 4.9 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/index.html 4.9 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/02. Introduction.html 4.9 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/index.html 4.9 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/01. Term 2 Handoff.html 4.9 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/02. The Upcoming Project.html 4.9 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/04. Action!.html 4.9 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/04. Outline.html 4.9 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/06. Recap.html 4.8 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/14. Mapping and Localization Engineer Interview-rdVJZg4NJtc.en.vtt 4.8 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/index.html 4.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt 4.8 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/04. Summary.html 4.8 kB
  • Part 02-Module 05-Lesson 05_DQN Lab/06. Recap.html 4.8 kB
  • Part 02-Module 03-Lesson 06_Project Where Am I/index.html 4.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/25. State-Value Functions-llakAjwox_8.en.vtt 4.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt 4.8 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff 4.8 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/10. Information Matrix and Information Vector -3rsLNj2fQ4Y.en.vtt 4.8 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/01. Perception and Robotics.html 4.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/29. Action-Value Functions-KJLaRfOOPGA.en.vtt 4.8 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/index.html 4.7 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/index.html 4.7 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/eq.png 4.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.7 kB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/03. Overview.html 4.7 kB
  • Part 02-Module 05-Lesson 02_RL Basics/28. Optimality-j231aRV74QM.en.vtt 4.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.7 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/21. C5 L2 A94 L BFS Part 2 V6-Z_ZvAnyfUeE.en.vtt 4.7 kB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/01. Introduction.html 4.7 kB
  • Part 02-Module 08-Lesson 01_Completing the Program/01. Congratulations!.html 4.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt 4.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt 4.7 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/index.html 4.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt 4.7 kB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/02. Mapping.html 4.6 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/index.html 4.6 kB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/03. SLAM.html 4.6 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/13. Multivariate Gaussian-ih69P0KJgII.en.vtt 4.6 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/index.html 4.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.es-MX.vtt 4.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/02. Examples Of Path Planning-uIHSZ6N7Xok.en.vtt 4.6 kB
  • Part 01-Module 12-Lesson 08_Term 1 Outro/01. Outro.html 4.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt 4.6 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/index.html 4.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.pt-BR.vtt 4.6 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/index.html 4.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/04. Convolutional Networks-ISHGyvsT0QY.pt-BR.vtt 4.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/16. DH Parameter Table-4ZjPUO1Fw8I.en.vtt 4.5 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/index.html 4.5 kB
  • Part 01-Module 07-Lesson 06_3D Perception Project/index.html 4.5 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.zh-CN.vtt 4.5 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/06. Robot Pose EKF Package-1XW1VtpztGE.en.vtt 4.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt 4.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/13. Cumulative Reward-ysriH65lV9o.zh-CN.vtt 4.5 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/index.html 4.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/04. Convolutional Networks-ISHGyvsT0QY.en.vtt 4.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt 4.5 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/15. DH Parameter Steps 5-8-rp0koFolTrA.en.vtt 4.5 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/14. 14 Ros Nodes-l4N0ToiDm9U.en.vtt 4.4 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/index.html 4.4 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-6.png 4.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1-NBWbluSbxPg.pt-BR.vtt 4.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/16. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.pt-BR.vtt 4.4 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/index.html 4.4 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/index.html 4.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/softmax-math.png 4.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/16. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.en.vtt 4.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/09. Translation And Rotation-ZVAJmzOk5p4.en.vtt 4.3 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/index.html 4.3 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/index.html 4.3 kB
  • Part 03-Module 01-Lesson 02_Project Details/index.html 4.3 kB
  • Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies-2rguYpVyCto.pt-BR.vtt 4.3 kB
  • Part 02-Module 05-Lesson 02_RL Basics/img/maze.png 4.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt 4.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. Error Function-V5kkHldUlVU.zh-CN.vtt 4.2 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/15. 3D SLAM With RTAB-Map -YpDVapcNaVw.en.vtt 4.2 kB
  • Part 02-Module 06-Lesson 03_Lab Path Planning/index.html 4.2 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/13. 13 External Library-cC_14mJUw78.en.vtt 4.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt 4.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.en.vtt 4.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt 4.2 kB
  • Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt 4.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt 4.2 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/02. Intro To Kinematics-IGnXJvLCco8.en.vtt 4.2 kB
  • Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/index.html 4.2 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/index.html 4.2 kB
  • Part 02-Module 05-Lesson 06_Deep RL Manipulator/index.html 4.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/22. Policies-hc3LrvaC13U.zh-CN.vtt 4.1 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/04. K-Means Clustering-YqmIdTZ6puQ.en.vtt 4.1 kB
  • Part 01-Module 01-Lesson 01_Welcome/index.html 4.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt 4.1 kB
  • Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt 4.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt 4.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1-NBWbluSbxPg.en.vtt 4.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/23. Gradient Descent-rhVIF-nigrY.pt-BR.vtt 4.1 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/index.html 4.1 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/index.html 4.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/29. Action-Value Functions-KJLaRfOOPGA.zh-CN.vtt 4.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.ar.vtt 4.0 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.ar.vtt 4.0 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/06. Transistor Switch Circuit-1PjhInEigOM.en.vtt 4.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.pt-BR.vtt 4.0 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/index.html 4.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies-2rguYpVyCto.en.vtt 4.0 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/03. RGB Camera Model With Intro-VdqqnYcwLPw.en.vtt 4.0 kB
  • Part 02-Module 02-Lesson 01_Inference Development/index.html 4.0 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/16. 3D Data Representations-hvkGrM-jZXA.en.vtt 4.0 kB
  • Part 01-Module 01-Lesson 01_Welcome/02. Meet Your Instructors-3Zp2ukfskyE.en.vtt 4.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/25. State-Value Functions-llakAjwox_8.zh-CN.vtt 4.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.zh-CN.vtt 4.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations-UgIaDMvSdUo.pt-BR.vtt 4.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.en.vtt 3.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/23. Gradient Descent-rhVIF-nigrY.en.vtt 3.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/28. Optimality-j231aRV74QM.zh-CN.vtt 3.9 kB
  • Part 02-Module 05-Lesson 04_Deep RL/index.html 3.9 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/03. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt 3.9 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-0.png 3.9 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/index.html 3.9 kB
  • Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt 3.9 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt 3.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/04. Convolutional Networks-ISHGyvsT0QY.zh-CN.vtt 3.9 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/index.html 3.9 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/index.html 3.9 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/02. Jetson Overview-i56qM6NNW9A.en.vtt 3.9 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/index.html 3.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations-UgIaDMvSdUo.en.vtt 3.9 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/index.html 3.9 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/09. 09 L Pick And Place Demo Walkthrough-FWv9YZX3mzE.en.vtt 3.9 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff2 3.9 kB
  • Part 02-Module 05-Lesson 05_DQN Lab/index.html 3.9 kB
  • assets/css/styles.css 3.9 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/index.html 3.8 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/index.html 3.8 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/index.html 3.8 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/05. TurtleBot Gazebo Package-huR9KRtmNAM.en.vtt 3.8 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/10. KR210 Forward Kinematics Part 1-sh3gwZW1zAY.en.vtt 3.8 kB
  • Part 03-Module 01-Lesson 01_Project Introduction/index.html 3.8 kB
  • Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/index.html 3.8 kB
  • Part 02-Module 05-Lesson 02_RL Basics/09. The Reward Hypothesis-uAqNwgZ49JE.pt-BR.vtt 3.8 kB
  • Part 02-Module 08-Lesson 01_Completing the Program/index.html 3.8 kB
  • Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt 3.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt 3.8 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt 3.8 kB
  • Part 01-Module 01-Lesson 05_Get Help from Peers and Mentors/index.html 3.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt 3.8 kB
  • Part 01-Module 06-Lesson 02_Product Pitch/index.html 3.8 kB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/03. SLAM-CagI0msfEjc.en.vtt 3.7 kB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/index.html 3.7 kB
  • Part 01-Module 11-Lesson 02_Networking in Robotics/index.html 3.7 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/03. Meet the Careers Team-cuKecPpZ7PM.en.vtt 3.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.pt-BR.vtt 3.7 kB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/index.html 3.7 kB
  • Part 01-Module 01-Lesson 01_Welcome/01. The World of Robotics-J_lXNPRIwag.en.vtt 3.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/04. PID Overview-VSF59pFNh8w.en.vtt 3.7 kB
  • Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.pt-BR.vtt 3.7 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/12. The Grid-based FastSLAM Algorithm-yFKc-2j6BMs.en.vtt 3.7 kB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/index.html 3.7 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/04. Color Spaces-6WPGx4WAkZw.en.vtt 3.7 kB
  • Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/index.html 3.7 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/21. Final Thoughts-occ46iYHJ4I.en.vtt 3.7 kB
  • Part 02-Module 05-Lesson 03_Q-Learning Lab/02. Q-Learning Algorithm-Yzg59NGpcZQ.en.vtt 3.6 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/16. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.zh-CN.vtt 3.6 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/1f914.svg 3.6 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/07. RGB Image Formation-1tQKqTuY8_4.en.vtt 3.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt 3.6 kB
  • Part 01-Module 12-Lesson 08_Term 1 Outro/index.html 3.6 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/02. Coordinate Frames And Vectors-raD9QQau9zo.en.vtt 3.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.en.vtt 3.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/01. Introducing Luis!-Oc1dUU2fa2g.en.vtt 3.6 kB
  • Part 01-Module 01-Lesson 06_Get Help with Your Account/index.html 3.6 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/09. Designing 1D Kalman FIlter-5YChifc8z1M.en.vtt 3.6 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/03. Term 2 Objectives-dnAa2z6Zflw.en.vtt 3.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt 3.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/05. Continuous Representation-4Npk-v3sg2U.en.vtt 3.6 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt 3.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt 3.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/09. The Reward Hypothesis-uAqNwgZ49JE.en.vtt 3.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.5 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-11.51.11-am.png 3.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.pt-BR.vtt 3.5 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/02. Sensor Fusion-Uc_MUK_olJk.en.vtt 3.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.5 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt 3.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.en.vtt 3.5 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.en.vtt 3.5 kB
  • Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt 3.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt 3.5 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/02. What's A Kalman Filter-Cd5KKT7PfdE.en.vtt 3.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.en.vtt 3.5 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/08. Perception Engineer Interview-jvJBciGU5o0.en.vtt 3.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.pt-BR.vtt 3.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1-NBWbluSbxPg.zh-CN.vtt 3.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.pt-BR.vtt 3.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt 3.4 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/13. gmapping ROS Package-45kWFvCgTdA.en.vtt 3.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.4 kB
  • Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies-2rguYpVyCto.zh-CN.vtt 3.4 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.zh-CN.vtt 3.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.pt-BR.vtt 3.4 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/eq2.png 3.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt 3.4 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/16. Visual Bag Of Words -7-T3Vo5bWnI.en.vtt 3.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/02. Intro to Neural Networks-mZcMUcJVcqY.en.vtt 3.3 kB
  • Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt 3.3 kB
  • Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.en.vtt 3.3 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.es-MX.vtt 3.3 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.pt-BR.vtt 3.3 kB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/01. Localization in Robotics-AcZY7n8XPZo.en.vtt 3.3 kB
  • Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt 3.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt 3.2 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/14. DH Parameter Steps 1-4-77CZQ6huL-8.en.vtt 3.2 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/02. Embedded Examples-GWEaRK6w6LM.en.vtt 3.2 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/23. C5 L2 A102 UCS Part 2 V6-hrhu6VXEq6U.en.vtt 3.2 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/17. RTAB-Map Memory Management-Cs4mO5y4xYY.en.vtt 3.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.pt-BR.vtt 3.1 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/11. RQT Multiplot-ZEpVMvXC6jQ.en.vtt 3.1 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search-27mdDguSqvM.en.vtt 3.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.zh-CN.vtt 3.1 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/09. 08 Functions And Data Structures-eVJvHeeirwc.en.vtt 3.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.pt-BR.vtt 3.1 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.pt-BR.vtt 3.1 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/equations.png 3.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/09. The Reward Hypothesis-uAqNwgZ49JE.zh-CN.vtt 3.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.en-US.vtt 3.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations-UgIaDMvSdUo.zh-CN.vtt 3.1 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/03. GPIO-5kBPBKjtWsQ.en.vtt 3.1 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/03. Clustering Intro-P9jwsy1BUnI.en.vtt 3.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.en.vtt 3.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.en.vtt 3.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.en.vtt 3.0 kB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges-J_ggwD8zip0.en.vtt 3.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.en.vtt 3.0 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/02. Battery-c4LQLIB-WYc.en.vtt 3.0 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.en.vtt 3.0 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn4.gif 3.0 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.zh-CN.vtt 3.0 kB
  • Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.zh-CN.vtt 3.0 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/02. Graphs-a7qFQMwMb4k.en.vtt 3.0 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/09. Resampling Wheel-tYuSA4I09O8.en.vtt 3.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.zh-CN.vtt 3.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 3.0 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/15. SLAM With ROS -APwvoT_w9Cw.en.vtt 2.9 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/10. Intro To Probabilistic Path Planning-CF6kz2H00ZU.en.vtt 2.9 kB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/01. Introduction-ouAVFq9QJuo.en.vtt 2.9 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter-1nHSG4U_v2g.en.vtt 2.9 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/08. Principal Types Of Serial Manipulators-_i2g68BdrO0.en.vtt 2.9 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/22. L2 98 DFS Part 2 V3-2_hHQBhD1n8.en.vtt 2.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/02. Exploring the Simulator-YWiDvpjyBio.en.vtt 2.9 kB
  • Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt 2.9 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.pt-BR.vtt 2.9 kB
  • Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.zh-CN.vtt 2.9 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/img/codecogseqn3.gif 2.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/04. Particle Filters-flFKViJI-18.en.vtt 2.8 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/01. Introduction-zya9-JPqkLE.en.vtt 2.8 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/01. Overview Of Controls Engineering-NL5e9LsWItQ.en.vtt 2.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-3.png 2.8 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/02. Design Review-IlXkmoY_8Vw.en.vtt 2.8 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/08. Resampling-WdW72nTVT8M.en.vtt 2.8 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.en.vtt 2.8 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.zh-CN.vtt 2.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.en.vtt 2.8 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/gif.latex.gif 2.7 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.pt-BR.vtt 2.7 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/04. Front End Vs Back End -mLKwe-AAJc8.en.vtt 2.7 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/14. Multi Sensor Fusion -d9-a8Z0E8rg.en.vtt 2.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt 2.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt 2.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt 2.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/18. Beyond The Ideal Case - Noise-tPRbY3A4qcs.en.vtt 2.7 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/01. Introduction-qAitoH9xVl8.en.vtt 2.7 kB
  • Part 02-Module 05-Lesson 04_Deep RL/02. From RL to Deep RL-7HLJ0uaR1F0.en.vtt 2.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.en.vtt 2.7 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. 15 Tensorflow CrossEntropy V1-bYDXA6XPQnM.en.vtt 2.7 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/01. Intro To Object Recognition-Sy2Wk-FYSJU.en.vtt 2.7 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.en-US.vtt 2.7 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/codecogseqn-7.gif 2.7 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/08. Filtering -gvSuVqEI5OI.en.vtt 2.7 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/homo-xform-2.png 2.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.ar.vtt 2.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ar.vtt 2.7 kB
  • Part 01-Module 01-Lesson 01_Welcome/03. Projects You Will Build-inT5Ns2DvAs.en.vtt 2.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.en.vtt 2.7 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/12. Kuka KR210 Forward Kinematics Part 03-nQ8PiP1BlSA.en.vtt 2.7 kB
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/01. Introduction-WchXpePVMuI.en.vtt 2.6 kB
  • Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.6 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.6 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/07. 07 Hello, World!-dQ17TKFmvq4.en.vtt 2.6 kB
  • Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.en.vtt 2.6 kB
  • Part 02-Module 05-Lesson 01_Intro to RL for Robotics/02. Deep RL in Robotics-IjG_IWJdb1w.en.vtt 2.6 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/06. Research The Company-rej_9D0J0-o.en.vtt 2.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt 2.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.pt-BR.vtt 2.6 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.pt-BR.vtt 2.6 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt 2.5 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/01. Introduction To Probabilistic Path Planning-msgVwQCM2C8.en.vtt 2.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.zh-CN.vtt 2.5 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/04. Breadboard-UAY8HtXyzQ0.en.vtt 2.5 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier-WQsdr1EJgz8.en.vtt 2.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/01. Introduction-6jSFl5kxIBs.pt-BR.vtt 2.5 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/04. Term 2 Outline-AD3LDaDhJ5Y.en.vtt 2.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.zh-CN.vtt 2.5 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/11. 11 Inheritance And Pointers-E3B9GHqEdj4.en.vtt 2.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/02. Open-Loop Control-p5-E3n9_ptM.en.vtt 2.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt 2.5 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier-WQsdr1EJgz8.pt-BR.vtt 2.5 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/07. Importance Weight-MPJVPvjruZo.en.vtt 2.5 kB
  • Part 02-Module 05-Lesson 02_RL Basics/01. Introduction-6jSFl5kxIBs.en.vtt 2.5 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.zh-CN.vtt 2.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.en.vtt 2.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models Are Limited-12AYOYDrpfQ.pt-BR.vtt 2.5 kB
  • Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt 2.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt 2.5 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.pt-BR.vtt 2.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt 2.4 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/02. Online SLAM-bQ9aQj46cMI.en.vtt 2.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.zh-CN.vtt 2.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.pt-BR.vtt 2.4 kB
  • Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/02. Mapping-xHOfiYhhzJ4.en.vtt 2.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.en.vtt 2.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt 2.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/10. 10 Classes And Objects-r7hwI_O9SdA.en.vtt 2.4 kB
  • Part 01-Module 01-Lesson 04_Career Support Overview/01. Careers In Robotics Catalia Health-HS8ALYfDgJw.en.vtt 2.4 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/01. Introduction-AwjP4ABJjoo.en.vtt 2.4 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.zh-CN.vtt 2.4 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/02. Sensor Calibration-nrOwEXhHR0g.en.vtt 2.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt 2.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.en.vtt 2.4 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/05. Correspondence-9fe6Tzx8H78.en.vtt 2.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.en.vtt 2.4 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/08. Surface Normals-pHnb_VgjZN0.en.vtt 2.3 kB
  • Part 01-Module 12-Lesson 07_Project Follow Me/01. 02 Lesson 08 Outro 1-Lm9Y1Wl9gFY.en.vtt 2.3 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/08. Point Cloud Filtering-bop3tRyvRxU.en.vtt 2.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt 2.3 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. Building an Earthworm Robot-34HvCniBTIA.en.vtt 2.3 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/01. Overview of the Project-c7q2IJntS1g.en.vtt 2.3 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ar.vtt 2.3 kB
  • Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.ar.vtt 2.3 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ar.vtt 2.3 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/17. Octomap-9s9ibmsQ4lQ.en.vtt 2.3 kB
  • Part 02-Module 02-Lesson 01_Inference Development/01. Overview-DrRsTUzqweM.en.vtt 2.3 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.pt-BR.vtt 2.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.en.vtt 2.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.zh-CN.vtt 2.3 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/19. Graph Search-aA17XOlX044.en.vtt 2.3 kB
  • Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/01. Lesson Overview-B0SVGo8JPeA.en.vtt 2.3 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.en.vtt 2.2 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt 2.2 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/07. Kalman Filter Advantage-thwTZvbzAgk.en.vtt 2.2 kB
  • Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/01. Introduction-xMmMFhMoS8M.en.vtt 2.2 kB
  • Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2-elZCLxVvJrY.ar.vtt 2.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt 2.2 kB
  • Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt 2.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt 2.2 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/11. Grid-based FastSLAM Techniques-0VwPYaQk98U.en.vtt 2.2 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/01. Introduction-Z7tgQBESh7A.en.vtt 2.2 kB
  • Part 01-Module 05-Lesson 01_Intro to Kinematics/01. Kinematics Lessons Overview-9CqZ4TbGxJE.en.vtt 2.2 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models Are Limited-12AYOYDrpfQ.en.vtt 2.2 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/08. 07 Compile And Execute-yyr-V_m-zzE.en.vtt 2.2 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/img/eq5b.png 2.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier-WQsdr1EJgz8.zh-CN.vtt 2.2 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.zh-CN.vtt 2.2 kB
  • Part 02-Module 05-Lesson 02_RL Basics/01. Introduction-6jSFl5kxIBs.zh-CN.vtt 2.2 kB
  • Part 02-Module 01-Lesson 02_The Jetson TX2/04. Jetson Setup-OY41LEFi5_A.en.vtt 2.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.zh-CN.vtt 2.1 kB
  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/01. 01 L Overview-QgaDYTV4478.en.vtt 2.1 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models Are Limited-12AYOYDrpfQ.zh-CN.vtt 2.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/codecogseqn-49.gif 2.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/sigmoid-derivative.gif 2.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.zh-CN.vtt 2.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/06. Grid Cells -WxRLYM7qHbc.en.vtt 2.1 kB
  • Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt 2.1 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/11. State Prediction-mjBpoGmNaqU.en.vtt 2.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt 2.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt 2.1 kB
  • Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt 2.1 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/12. Training a Deep Learning Network-CsB7yUtMJyk.en.vtt 2.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt 2.1 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.en.vtt 2.1 kB
  • Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt 2.1 kB
  • Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.zh-CN.vtt 2.1 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt 2.1 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/16. Outro-l7vdjOekQhE.en.vtt 2.1 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/12. Training a Deep Learning Network-CsB7yUtMJyk.pt-BR.vtt 2.1 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/12. IoU---9BTjOsO6U.en.vtt 2.1 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/02. Term 2 Introduction-k1DHTEh4qVw.en.vtt 2.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt 2.1 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt 2.1 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/02. Downside Of Model Fitting-ouN0KjZZrGY.en.vtt 2.1 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/16. Limitations Of PID-N3oWkNfx4LQ.en.vtt 2.0 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/12. 12 Template Class-gM2Lsj3HdZg.en.vtt 2.0 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt 2.0 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt 2.0 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 2.0 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/02. What's MCL-RiFI2VzSFp8.en.vtt 2.0 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/01. Introduction-oOJEtvCGEiw.en.vtt 2.0 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/10. Error-z1pBWLzqqsc.en.vtt 2.0 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/02. Features-syc68KSNEJw.en.vtt 2.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt 2.0 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt 2.0 kB
  • Part 02-Module 03-Lesson 01_Introduction to Localization/03. Overview-NV1j739Tlw8.en.vtt 2.0 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt 2.0 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt 2.0 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/09. Perception Reflection-nFFYWQxUo_U.en.vtt 2.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.en.vtt 2.0 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt 2.0 kB
  • Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt 2.0 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt 2.0 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/12. Training a Deep Learning Network-CsB7yUtMJyk.zh-CN.vtt 1.9 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/25. 1x1 Convolutions-Zmzgerm6SjA.pt-BR.vtt 1.9 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.zh-CN.vtt 1.9 kB
  • Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.en.vtt 1.9 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.en.vtt 1.9 kB
  • Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt 1.9 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt 1.9 kB
  • Part 01-Module 01-Lesson 03_Search and Sample Return/03. Recording Data-E7JhZ2vYS24.en.vtt 1.9 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/14. Intro To 3D SLAM With RTAB Map -CbVNZ0J5Pmg.en.vtt 1.9 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/02. 02 Welcome!-1oElWzRt-lU.en.vtt 1.9 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.ja-JP.vtt 1.9 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/02. Robot Class-BBEVf9csMOo.en.vtt 1.9 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.9 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/03. Power Of MCL-xwOWl7cGwOU.en.vtt 1.8 kB
  • Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.pt-BR.vtt 1.8 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.pt-BR.vtt 1.8 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 01 行动者-评论者方法 RENDER V1 V1-FXhyxJzgt8U.pt-BR.vtt 1.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/25. Non-Linear Regions-B8UrWnHh1Wc.en.vtt 1.8 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/03. Full SLAM -L7aE6TFt2zw.en.vtt 1.8 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/01. Calibration, Filtering and Segmentation-v1GZeP9IGqE.en.vtt 1.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/04. 分类问题 2 -46PywnGa_cQ.en.vtt 1.8 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/logo-mark-e5f34635b01d52302632b23512f3553efba00cd453c3f891c8bf6ee0ca5bcb6c.svg 1.8 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/12. IoU---9BTjOsO6U.zh-CN.vtt 1.8 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/07. Particle Filter Approach To SLAM-0DiiZi5t75U.en.vtt 1.8 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/18. 02 86 Discretization Wrap-Up-YuH5HQ7DJUE.en.vtt 1.8 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/03. Picking Your Robotic Inference Idea-gDfTPZUD8dE.en.vtt 1.8 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt 1.8 kB
  • Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/01. Swarm Robotics Intro-tn54WOSQDtI.en.vtt 1.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.8 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. 16 Probability-hqaj7NaJWk4.en.vtt 1.8 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/11. FCNs In The Wild-q9wTd53-hsw.en.vtt 1.8 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/01. Welcome to the Course-GaCLcs60EP4.en.vtt 1.7 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/04. 03 Transitioning-BvDvxw8e0CY.en.vtt 1.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt 1.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt 1.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.7 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/25. 1x1 Convolutions-Zmzgerm6SjA.en.vtt 1.7 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/08. Mid-Lesson Overview -_xbQgoFqNgE.en.vtt 1.7 kB
  • Part 02-Module 05-Lesson 04_Deep RL/03. DQN Overview-WgiAvr7COR0.en.vtt 1.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/31. Neural Networks Wrap Up-1bq6c44nQnU.en.vtt 1.7 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/20. Additional Resources-kb6lgWQVvAU.en.vtt 1.7 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/14. Segmentation Summary-D6A_uCitK0c.en.vtt 1.7 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/07. MCL in Action-VgEGrvgty_k.en.vtt 1.7 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/02. The Upcoming Project-dj21r-nGqkE.en.vtt 1.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Chain Rule-YAhIBOnbt54.en.vtt 1.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/04. 分类问题 2 -46PywnGa_cQ.zh-CN.vtt 1.7 kB
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/04. Mapping with Known Poses-LST_AieoenI.en.vtt 1.7 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/03. 03 Overview-nJ2xSBmlYHw.en.vtt 1.7 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/06. MCL The Algorithm-nNkCTQw0D_I.en.vtt 1.7 kB
  • Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.zh-CN.vtt 1.7 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt 1.7 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.zh-CN.vtt 1.7 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/06. Why RGB-D-Epy9a_7fRe4.en.vtt 1.7 kB
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/01. 3D Perception-LJjPoUF1lRg.en.vtt 1.6 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/19. My Project Reflection-ZZKRKbyX2pY.en.vtt 1.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/04. 分类问题 2 -46PywnGa_cQ.pt-BR.vtt 1.6 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/18. 07 Getting Into Soft Robotics-cBmTs79s3HI.en.vtt 1.6 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/07. Let's Get Started-yoXAm1ix6q8.en.vtt 1.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/04. Discrete Planning-paeOudcnghM.en.vtt 1.6 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/11. FCNs In The Wild-q9wTd53-hsw.zh-CN.vtt 1.6 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.en.vtt 1.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module-SlTm03bEOxA.en.vtt 1.6 kB
  • Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.en.vtt 1.6 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.en.vtt 1.6 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/10. Skip Connections-JUYLA5PWzo0.en.vtt 1.6 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/25. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt 1.6 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/04. One Piece Of The Puzzle-OJCCNhsuAAY.en.vtt 1.6 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module-SlTm03bEOxA.pt-BR.vtt 1.6 kB
  • Part 02-Module 01-Lesson 01_Introduction to Term 2/01. Term 2 Handoff-2LWpsXSUATE.en.vtt 1.6 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/13. Graph-SLAM At a Glance-d29m7d-DBYE.en.vtt 1.6 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 01 行动者-评论者方法 RENDER V1 V1-FXhyxJzgt8U.en.vtt 1.6 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/03. Decision Making-TQtZx-5xyBk.en.vtt 1.6 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/21. Breadth-First Search-5JUpzI75iuk.en.vtt 1.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/27. Discrete Planning Wrap-Up-UKntCcGaFNo.en.vtt 1.5 kB
  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/08. Introduction To FastSLAM -HIrt25hK-oI.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/25. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt 1.5 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/11. Graphing-VVQLjK-_b7o.en.vtt 1.5 kB
  • Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/16. Regularization-QcJBhbuCl5g.pt-BR.vtt 1.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/15. PID Control Summary-VMllCpVr-08.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/03. Fully Convolutional Networks-_Lh2ozg5yTs.en.vtt 1.5 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/camera-matrix.gif 1.5 kB
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/01. Overview-Jn6pk-A2KXw.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/25. 1x1 Convolutions-Zmzgerm6SjA.zh-CN.vtt 1.5 kB
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt 1.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt 1.5 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/06. Particle Filter-UN9e0li6W38.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/16. Regularization-QcJBhbuCl5g.en.vtt 1.5 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/12. Segmentation In Perception-cdf6kF1rBXQ.en.vtt 1.5 kB
  • Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2-elZCLxVvJrY.en.vtt 1.5 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.en.vtt 1.5 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/06. Histograms Of Color-ktJ1lkIxFxk.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt 1.5 kB
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/01. Intro-4oc6WDooP0U.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.en-US.vtt 1.5 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/06. 06 Editor Choice-11x_6HPtsg4.en.vtt 1.5 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/03. Constraints-oo6G_ABDa80.en.vtt 1.5 kB
  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/01. Intro to Object Segmentation-u3EHyCSWlSw.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.en.vtt 1.5 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt 1.5 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.zh-CN.vtt 1.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt 1.5 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/11. Discretization-mKWjmGt4BPs.en.vtt 1.5 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.5 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module-SlTm03bEOxA.zh-CN.vtt 1.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/16. 16 Challenge!-3xasV08_Nzs.en.vtt 1.4 kB
  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt 1.4 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/02. Perception-BofRh5BrBDc.en.vtt 1.4 kB
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/01. Intro-9e-v87sKklE.en.vtt 1.4 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/distortioncoeffs.gif 1.4 kB
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt 1.4 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt 1.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/22. Depth-First Search-MxdxqfN1-P8.en.vtt 1.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/26. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt 1.4 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/07. 为何是神经网络-zAkzOZntK6Y.en.vtt 1.4 kB
  • Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 01 行动者-评论者方法 RENDER V1 V1-FXhyxJzgt8U.zh-CN.vtt 1.4 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/05. 05 Ubuntu Setup-7r_E3h90ZFI.en.vtt 1.4 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/01. Introduction to Path Planning-zSP3Bf2tZSU.en.vtt 1.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.pt-BR.vtt 1.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/04. Let'S Get Started-ySIDqaXLhHw.pt-BR.vtt 1.4 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/01. Setting up the Problem-kLlc5aWmPXg.en.vtt 1.4 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/10. Skip Connections-JUYLA5PWzo0.zh-CN.vtt 1.4 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/01. Introducing Vincent!-jhalIJAcbuU.en.vtt 1.4 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 1.4 kB
  • [FTU Forum].url 1.4 kB
  • Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.4 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.4 kB
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/01. Introduction-uEt_lRFqtwE.en.vtt 1.4 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/05. Variations-ldg7uIhA08k.en.vtt 1.4 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.zh-CN.vtt 1.3 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/20. Recap-APfyE5LWCw8.en.vtt 1.3 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/01. 00 Kelvin Intro-TORyP4mA_eg.en.vtt 1.3 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/02. Bounding Boxes-uPv4d0Xl8hc.en.vtt 1.3 kB
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt 1.3 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt 1.3 kB
  • Part 01-Module 07-Lesson 01_Perception Overview/04. Summary-H8uVlURy03k.en.vtt 1.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.pt-BR.vtt 1.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/26. Non-Linear Models-HWuBKCZsCo8.en.vtt 1.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/05. Network Of ReLUs-mJk1UvhDb1g.en.vtt 1.3 kB
  • Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt 1.3 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt 1.3 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/16. Outro Positional Controller-FHb6KdQG2uM.en.vtt 1.3 kB
  • Part 01-Module 01-Lesson 02_What is a Robot/04. Action-P-tzy1C7bJU.en.vtt 1.3 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/03. Your Part-nIJweu9oVV4.en.vtt 1.3 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/01. Introduction to a Positional Controller-NSbq_g9pUds.en.vtt 1.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/16. Regularization-QcJBhbuCl5g.zh-CN.vtt 1.3 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/07. 为何是神经网络-zAkzOZntK6Y.pt-BR.vtt 1.3 kB
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-3.gif 1.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/05. Network Of ReLUs-mJk1UvhDb1g.zh-CN.vtt 1.3 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/04. Let'S Get Started-ySIDqaXLhHw.en.vtt 1.3 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/03. Fully Convolutional Networks-_Lh2ozg5yTs.zh-CN.vtt 1.3 kB
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/07. Path Smoothing -R20Mpz5y7-w.en.vtt 1.3 kB
  • Part 01-Module 10-Lesson 01_Introduction to Controls/23. Wrap Up-s5YF2TuXM7s.en.vtt 1.3 kB
  • Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/01. 01 Introducing Karim-_zF81prFQw4.en.vtt 1.3 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/15. Mapping and Localization Reflection-XURfouUc_9Y.en.vtt 1.3 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/19. Dropout Pt. 2-8nG8zzJMbZw.en-US.vtt 1.3 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/13. Motion Planning Engineer Reflection-nAc40tJP8p0.en.vtt 1.3 kB
  • Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt 1.3 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt 1.3 kB
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.zh-CN.vtt 1.3 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/04. Applications-EIOqFwzB4j8.en.vtt 1.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/04. Let'S Get Started-ySIDqaXLhHw.zh-CN.vtt 1.2 kB
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/02. Bounding Boxes-uPv4d0Xl8hc.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/01. Overview-duiryUlNVKQ.en.vtt 1.2 kB
  • Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt 1.2 kB
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt 1.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/07. 为何是神经网络-zAkzOZntK6Y.zh-CN.vtt 1.2 kB
  • Part 01-Module 07-Lesson 05_Object Recognition/18. Recognition Wrap-up-teROYZudh7c.en.vtt 1.2 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/11. Deep Learning Reflection-ASYxOkucZxI.en.vtt 1.2 kB
  • Part 02-Module 03-Lesson 05_Build MCL in C++/03. First Interaction--GxyQuh5LJ8.en.vtt 1.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/18. 21 Validation And Test Set V2-iC2QOiavbrw.pt-BR.vtt 1.2 kB
  • Part 02-Module 02-Lesson 01_Inference Development/07. Recap-oj4ot37OAj4.en.vtt 1.2 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update-OaLfGr8xx9Q.en.vtt 1.2 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/02. Job Titles-nOiG177fxMc.en.vtt 1.2 kB
  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/01. Intro HS V4-5VWOIx9nJ9o.en.vtt 1.2 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/08. 06 L Supervised Classification-XTGsutypAPE.pt-BR.vtt 1.2 kB
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/26. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt 1.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/cmatrix.gif 1.1 kB
  • Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/17. Control Reflection-D5ugiJVUSsw.en.vtt 1.1 kB
  • Part 02-Module 04-Lesson 04_GraphSLAM/19. Outro-PN6cQJA1N40.en.vtt 1.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/08. 06 L Supervised Classification-XTGsutypAPE.en.vtt 1.1 kB
  • Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/01. Mike Intro Wth Intro Graphic--JkzOHVtsys.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/02. Cameras-XgWQlqF-eV8.en.vtt 1.1 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/19. Dropout Pt. 2-8nG8zzJMbZw.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/01. Overview Of Hardware Lab-ZD8f8OBA5tE.en.vtt 1.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/amatrix.gif 1.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/bmatrix.gif 1.1 kB
  • Part 02-Module 03-Lesson 02_Kalman Filters/01. Overview-nA7tllSCpRA.en.vtt 1.1 kB
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/dmatrix.gif 1.1 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/03. IMU-nAvGt8i4KZg.en.vtt 1.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/09. Let's make a deal-l1xMgirpwCU.pt-BR.vtt 1.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.pt-BR.vtt 1.1 kB
  • Part 02-Module 06-Lesson 02_Classic Path Planning/26. Graph-Search Wrap-Up-tplAoLJeBS0.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/05. LIDAR-mPs8gHds9Yo.en.vtt 1.1 kB
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/19. Dropout Pt. 2-8nG8zzJMbZw.pt-BR.vtt 1.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.en.vtt 1.1 kB
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/codecogseqn2.gif 1.1 kB
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/08. Convolutions Cont.-utOv-BKI_vo.en.vtt 1.1 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/18. 21 Validation And Test Set V2-iC2QOiavbrw.zh-CN.vtt 1.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/08. 06 L Supervised Classification-XTGsutypAPE.zh-CN.vtt 1.0 kB
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/18. 21 Validation And Test Set V2-iC2QOiavbrw.en.vtt 1.0 kB
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/04. RADAR-4LGO1YXumy8.en.vtt 1.0 kB
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/10. Main Launch-dh1PlulCxtA.en.vtt 978 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/09. Let's make a deal-l1xMgirpwCU.en.vtt 976 Bytes
  • Part 02-Module 03-Lesson 03_Lab Kalman Filters/12. Outro--Us3L6wJN8s.en.vtt 971 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.zh-CN.vtt 969 Bytes
  • Part 02-Module 03-Lesson 05_Build MCL in C++/14. Outro-4bmlai26h_4.en.vtt 969 Bytes
  • Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/01. Introduction-s2EjPF0Xn2w.en.vtt 967 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/08. Convolutions Cont.-utOv-BKI_vo.pt-BR.vtt 965 Bytes
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/09. Testing Navigation-t-0li7H131A.en.vtt 961 Bytes
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/09. Encoders-S1V8F2A-rv8.en.vtt 959 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/08. Convolutions Cont.-utOv-BKI_vo.zh-CN.vtt 944 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.ja-JP.vtt 942 Bytes
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/07. Transposed Convolutions-K6mlLX8ZZDs.en.vtt 942 Bytes
  • Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/13. Robot Grasping Challenge-B9KrDaOhrco.en.vtt 934 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. 17 Quiz - Cross-qtzh3pKdkzk.en.vtt 924 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/codecogseqn-58.gif 919 Bytes
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/01. Overview Of Sensors-vsOKFfgxILA.en.vtt 919 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/01. Intro To Deep Neural Networks-SXtXg_BB4lI.pt-BR.vtt 912 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/09. Let's make a deal-l1xMgirpwCU.zh-CN.vtt 907 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/03. Semantic Segmentation-_L5gJnZrw48.en.vtt 905 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/04. Scene Understanding-aMQREc-mP50.en.vtt 896 Bytes
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/codecogseqn-1.gif 894 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/36. CNNs Wrapup-s27rkmzx7LI.en.vtt 894 Bytes
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/11. Modeling Virtual Objects-Gq_FTu48ytc.en.vtt 864 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/12. 10 Error-56zJ6kEq5-Y.en.vtt 858 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.pt-BR.vtt 854 Bytes
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/07. Transposed Convolutions-K6mlLX8ZZDs.zh-CN.vtt 850 Bytes
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/06. IR-cFMJ5ImfF80.en.vtt 850 Bytes
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/09. Sample-Based Path Planning Wrap-Up-TMefU2S7ass.en.vtt 850 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.en-US.vtt 845 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/04. Scene Understanding-aMQREc-mP50.zh-CN.vtt 844 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/01. Intro To Deep Neural Networks-SXtXg_BB4lI.en.vtt 842 Bytes
  • Part 02-Module 06-Lesson 06_Project Home Service Robot/10. Reaching Multiple Goals-RcbjN6KFJq8.en.vtt 840 Bytes
  • Part 02-Module 02-Lesson 01_Inference Development/04. Inference Engine On TX2-3zNa1_3I0wo.en.vtt 834 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/09. ChainRule-DxOg_olir0k.pt-BR.vtt 833 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/15. Numerical Stability-_SbGcOS-jcQ.pt-BR.vtt 823 Bytes
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/08. Ultrasonic-jaISpzp7kSk.en.vtt 819 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt 812 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt 812 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.en-US.vtt 793 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/07. High Level Frameworks-ThmsQxazSvM.en.vtt 787 Bytes
  • Part 02-Module 03-Lesson 02_Kalman Filters/19. Recap-a-wUWkxWPqY.en.vtt 787 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/01. Intro To Deep Neural Networks-SXtXg_BB4lI.zh-CN.vtt 779 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.zh-CN.vtt 777 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.pt-BR.vtt 769 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.zh-CN.vtt 765 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/15. Numerical Stability-_SbGcOS-jcQ.en-US.vtt 764 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/03. Semantic Segmentation-_L5gJnZrw48.zh-CN.vtt 758 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.en-US.vtt 747 Bytes
  • Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/17. Summary of Calibration, FIltering and Segmentation-4je0BGi_WPs.en.vtt 745 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.en.vtt 745 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/07. High Level Frameworks-ThmsQxazSvM.zh-CN.vtt 743 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.en.vtt 739 Bytes
  • Part 02-Module 03-Lesson 05_Build MCL in C++/13. Images-_E96yrPxVrM.en.vtt 726 Bytes
  • Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/06. Recap-DFS1K_rz1BI.en.vtt 725 Bytes
  • Part 02-Module 02-Lesson 01_Inference Development/05. Deploy The Model-psrSmyk55O8.en.vtt 711 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.zh-CN.vtt 709 Bytes
  • Part 02-Module 02-Lesson 03_Project Robotic Inference/08. Project Summary--BRAUHCVEpM.en.vtt 708 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.pt-BR.vtt 707 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt 705 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt 705 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.pt-BR.vtt 683 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/14. 02 Lesson 06 Outro 1-oHM_mW9xmI8.en.vtt 680 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt 678 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt 678 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/09. ChainRule-DxOg_olir0k.en.vtt 677 Bytes
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/codecogseqn-2.gif 663 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/15. Numerical Stability-_SbGcOS-jcQ.zh-CN.vtt 663 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.pt-BR.vtt 663 Bytes
  • Part 01-Module 07-Lesson 02_Introduction to 3D Perception/12. 3D Perception Summary-SVSHlRLLCFo.en.vtt 652 Bytes
  • Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/codecogseqn1.gif 648 Bytes
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/10. Recap-C_CUJXF4KXc.en.vtt 646 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/17. Regularization-Quiz-E0eEW6V0_sA.pt-BR.vtt 643 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. 18 Formula For Cross-xzabkugu2yI.en.vtt 638 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/17. Regularization-Quiz-E0eEW6V0_sA.en-US.vtt 638 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt 634 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt 634 Bytes
  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/20. 23 Validation Set Size Continued-cXj-FLdPGgg.en.vtt 616 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.zh-CN.vtt 612 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/09. ChainRule-DxOg_olir0k.zh-CN.vtt 609 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 Bytes
  • Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges Solution-2W60lfPQYZY.en.vtt 599 Bytes
  • Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update In 1D (Post Quiz) -cKEVFynbJfs.en.vtt 596 Bytes
  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/08. Outro-qBd_gY5CXFM.en.vtt 596 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.en.vtt 594 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. 12 Discrete--tPLp5JKFkk.en.vtt 581 Bytes
  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/12. 02 Lesson 05 Outro-zVuZZPF-QQM.en.vtt 566 Bytes
  • Part 01-Module 12-Lesson 03_Deep Neural Networks/17. Regularization-Quiz-E0eEW6V0_sA.zh-CN.vtt 557 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.zh-CN.vtt 555 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt 551 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt 551 Bytes
  • Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/15. Probabilistic Path Planning Wrap-Up-6HqAXjlA3no.en.vtt 550 Bytes
  • Part 02-Module 01-Lesson 04_Lab Hardware Hello World/09. Recap-ittFKxLjdlU.en.vtt 543 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 Bytes
  • Part 02-Module 01-Lesson 02_The Jetson TX2/08. Recap-CwUHk7xSkkM.en.vtt 540 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt 538 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt 538 Bytes
  • Part 02-Module 01-Lesson 05_Robotics Sensor Options/07. Variable Resistors-p-7Fb6L1Qv0.en.vtt 519 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.en.vtt 501 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt 501 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. 14 Quiz - Softmax-DqNlVmt_0qs.en.vtt 500 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 Bytes
  • Part 02-Module 02-Lesson 02_Inference Applications in Robotics/06. Recap-4DCHI_brlT4.en.vtt 488 Bytes
  • Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/01. 01 Lesson 06 Intro-j_lRYOKDjWg.en.vtt 481 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt 477 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.en.vtt 476 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt 476 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt 473 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt 473 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt 460 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt 460 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt 457 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt 457 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt 453 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt 453 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 Bytes
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-5.gif 425 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt 420 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 Bytes
  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-4.gif 403 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt 390 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 Bytes
  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt 364 Bytes
  • Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 Bytes
  • Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 Bytes
  • Part 02-Module 03-Lesson 05_Build MCL in C++/05. Noise-8oMow26fgwg.en.vtt 349 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt 324 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt 309 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.en.vtt 303 Bytes
  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt 301 Bytes
  • How you can help Team-FTU.txt 241 Bytes
  • [FreeCoursesOnline.Me].url 133 Bytes
  • [FreeTutorials.Eu].url 129 Bytes
  • FTUApps.com website coming soon.txt 94 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！