[FCO] UDACITY - Robotics Software Engineer v1.0.0

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[FCO] UDACITY - Robotics Software Engineer v1.0.0

磁力链接/BT种子简介

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收录时间：2021-03-07
最近下载：2024-11-29

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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
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  • 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
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  • Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search-27mdDguSqvM.mp4 3.3 MB
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  • 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
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  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.mp4 3.3 MB
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  • 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
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  • Part 02-Module 06-Lesson 06_Project Home Service Robot/09. Testing Navigation-t-0li7H131A.mp4 3.1 MB
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  • 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
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  • Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.mp4 2.5 MB
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  • 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
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  • 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
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  • Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.mp4 2.3 MB
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  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.mp4 2.3 MB
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • Part 02-Module 06-Lesson 02_Classic Path Planning/22. Depth-First Search-MxdxqfN1-P8.mp4 1.3 MB
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  • 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
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  • Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.mp4 1.2 MB
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  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3-l3-a05-correspondence-1.jpg 1.2 MB
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  • 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
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  • 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
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  • 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
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  • Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-07-24-at-12.04.45-am.png 250.9 kB
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  • Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/redacted-linkedinresults.png 236.3 kB
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  • 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
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  • Part 01-Module 12-Lesson 05_Fully Convolutional Networks/img/1x1convolution.png 205.8 kB
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  • Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-4.32.22-pm.png 204.2 kB
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  • 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
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  • 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
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  • Part 02-Module 03-Lesson 04_Monte Carlo Localization/img/c2-l4-a03.png 177.9 kB
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  • Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/l3-slam-challenges-01.png 121.5 kB
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  • Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/pick-and-place-pose.png 105.2 kB
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  • Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/josh.jpg 102.8 kB
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  • Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/xor-quiz.png 96.4 kB
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  • Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-5.gif 425 Bytes
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  • Part 02-Module 03-Lesson 05_Build MCL in C++/05. Noise-8oMow26fgwg.en.vtt 349 Bytes
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  • 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

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