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Udacity - Robotics Software Engineer v1.0.0
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Udacity - Robotics Software Engineer v1.0.0
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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 03-Module 01-Lesson 05_Search/12. A-lxCCtgHk5Vs.mp4
80.2 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 03-Module 01-Lesson 05_Search/09. First Search Program - Artificial Intelligence for Robotics-TPIFP4E7DVo.mp4
64.3 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 03-Module 01-Lesson 05_Search/09. First Search Program Solution - Artificial Intelligence for Robotics-cl8Kdkr4Gbg.mp4
48.6 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 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/15. 05 Soft Robotics Process-3FJ5mXcBHwM.mp4
39.7 MB
Part 03-Module 01-Lesson 05_Search/13. Implement A-SSyvcCZKlqo.mp4
36.6 MB
Part 03-Module 01-Lesson 05_Search/20. Left Turn Policy-bQA2ELDNmmg.mp4
36.0 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 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/13. 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 03-Module 01-Lesson 05_Search/14. A in Action-qXZt-B7iUyw.mp4
33.8 MB
Part 01-Module 01-Lesson 02_What is a Robot/01. What Is A Robot-MooPT63kaMc.mp4
33.5 MB
Part 03-Module 01-Lesson 05_Search/20. Left Turn Policy-rH5DKpwYQLY.mp4
31.2 MB
Part 03-Module 01-Lesson 05_Search/15. Dynamic Programming-r2bPY2s9wII.mp4
29.7 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/14. 03 Soft Robotics Profile-927eDRsVySE.mp4
29.2 MB
Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network-GgtR_d1OB-M.mp4
26.9 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 03-Lesson 01_GitHub/13. 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 06_Project Details/08. KUKA Project Walkthrough Video-eB_l8Azxykg.mp4
24.4 MB
Part 03-Module 01-Lesson 05_Search/18. Value Program-FdT1g_Bzjm0.mp4
24.4 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 03-Lesson 01_GitHub/04. 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 03-Module 01-Lesson 05_Search/01. Motion Planning-KHAu5A_flcQ.mp4
19.1 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 03-Module 01-Lesson 05_Search/21. Planning Conclusion-M7ZJ74RVHqo.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 02-Module 08-Lesson 01_Completing the Program/01. Congratulations!-ZuW_UQrH9EI.mp4
14.4 MB
Part 03-Module 01-Lesson 05_Search/10. Expansion Grid - Artificial Intelligence for Robotics-1l7bWfz8sJw.mp4
13.8 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 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 03-Module 01-Lesson 02_Introduction to ROS/02. Build Robots with ROS-7eaz0qW7y_I.mp4
12.2 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/02. Build Robots with ROS-7eaz0qW7y_I.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 03-Module 01-Lesson 05_Search/18. Value Program-RXpuBRA-cpo.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 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 03-Module 01-Lesson 05_Search/19. Optimum Policy-7kllZxX-Nso.mp4
10.7 MB
Part 03-Module 01-Lesson 05_Search/08. Maze 2-YwAyqkznxa0.mp4
10.6 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 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 03-Module 01-Lesson 05_Search/11. Print Path-CyQ2gl-9W4o.mp4
9.8 MB
Part 03-Module 01-Lesson 05_Search/11. Print Path-6UJFZf40aBg.mp4
9.7 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 01-Module 12-Lesson 07_Project Follow Me/05. Collection Method1-2djhWHSiYsk.mp4
9.4 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 03-Module 01-Lesson 04_Write ROS Nodes/07. L3 Arm Mover The Code-0Li845bwxyM.mp4
8.9 MB
Part 01-Module 02-Lesson 03_Write ROS Nodes/07. L3 Arm Mover The Code-0Li845bwxyM.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 03-Module 01-Lesson 05_Search/16. Computing Value-Sn-ZUbZdOn8.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/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 03-Module 01-Lesson 05_Search/05. Optimal Path-wLz-nF2CrHc.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 03-Module 01-Lesson 05_Search/05. Optimal Path-Exl_kCyUc8U.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 03-Module 01-Lesson 05_Search/03. Compute Cost-dBA94pR6JYw.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 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 01-Module 02-Lesson 01_Introduction to ROS/08. Turtlesim Overview-GcAqAdMQXvM.mp4
7.3 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/08. Turtlesim Overview-GcAqAdMQXvM.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 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4
7.3 MB
Part 01-Module 03-Lesson 01_GitHub/08. 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 03-Module 01-Lesson 05_Search/19. Optimum Policy-MMDcirk9QPM.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 03-Module 01-Lesson 04_Write ROS Nodes/04. L3 Simple Mover Code-jEO_4xxA_mI.mp4
6.5 MB
Part 01-Module 02-Lesson 03_Write ROS Nodes/04. L3 Simple Mover Code-jEO_4xxA_mI.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 02-Lesson 03_Write ROS Nodes/11. Look Away The Code -pOZW8SdyYsk.mp4
6.0 MB
Part 03-Module 01-Lesson 04_Write ROS Nodes/11. Look Away The Code -pOZW8SdyYsk.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 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 03-Module 01-Lesson 01_Project Introduction/05. 06 Supplemental Lessons-VzOqvX9KUU4.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 03-Module 01-Lesson 05_Search/13. Implement A-V0Ppaw5G2Pg.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 03-Module 01-Lesson 05_Search/10. Expansion Grid Solution - Artificial Intelligence for Robotics-pH6sDfBalaw.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 01-Module 02-Lesson 02_Packages & Catkin Workspaces/04. Roslaunch-EsGNppn8UlQ.mp4
5.1 MB
Part 03-Module 01-Lesson 03_Packages & Catkin Workspaces/04. Roslaunch-EsGNppn8UlQ.mp4
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 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 01-Module 02-Lesson 02_Packages & Catkin Workspaces/05. Rosdep-Kei6k78fydE.mp4
4.9 MB
Part 03-Module 01-Lesson 03_Packages & Catkin Workspaces/05. Rosdep-Kei6k78fydE.mp4
4.9 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/01. Welcome to ROS Essentials-rvebtwi46SI.mp4
4.9 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/01. Welcome to ROS Essentials-rvebtwi46SI.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 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 03-Module 01-Lesson 05_Search/07. Maze-ge_-o0RfrgM.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 02-Lesson 03_Write ROS Nodes/01. ROS L3 Overview-LPbq_YwrzME.mp4
4.7 MB
Part 03-Module 01-Lesson 04_Write ROS Nodes/01. ROS L3 Overview-LPbq_YwrzME.mp4
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 01-Module 02-Lesson 03_Write ROS Nodes/13. Recap-7G5xOFeSrh0.mp4
4.6 MB
Part 03-Module 01-Lesson 04_Write ROS Nodes/13. Recap-7G5xOFeSrh0.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 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 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 03-Module 01-Lesson 05_Search/02. 04-DdUNkuDszBM.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 03-Module 01-Lesson 05_Search/04. Compute Cost 2-OXIESpN0KaE.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 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 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4
4.2 MB
Part 01-Module 07-Lesson 01_Perception Overview/04. Summary-H8uVlURy03k.mp4
4.2 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/07. Compute Graph-dWc4ktFohNg.mp4
4.2 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/07. Compute Graph-dWc4ktFohNg.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 03-Module 01-Lesson 05_Search/06. Optimal Path 2-qFswCrEUZSM.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 03-Module 01-Lesson 02_Introduction to ROS/03. Brief History of ROS-Cw-FEyqU2NI.mp4
4.0 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/03. Brief History of ROS-Cw-FEyqU2NI.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 03-Module 01-Lesson 05_Search/03. Compute Cost-7-yOaHVeATk.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 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 02-Lesson 01_Introduction to ROS/11. Run Turtlesim-hCkE973oY9o.mp4
3.8 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/11. Run Turtlesim-hCkE973oY9o.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 02-Lesson 01_Introduction to ROS/15. Turtlesim Comms Message Information-f89-UgEb8Y0.mp4
3.7 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/15. Turtlesim Comms Message Information-f89-UgEb8Y0.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 02-Lesson 02_Packages & Catkin Workspaces/01. Overview of Catkin Workspaces and Packages-VqYNipeW72o.mp4
3.7 MB
Part 03-Module 01-Lesson 03_Packages & Catkin Workspaces/01. Overview of Catkin Workspaces and Packages-VqYNipeW72o.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 03-Module 01-Lesson 02_Introduction to ROS/04. Nodes And Topics-t5xWx5Zgmk0.mp4
3.6 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/04. Nodes And Topics-t5xWx5Zgmk0.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 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4
3.5 MB
Part 01-Module 03-Lesson 01_GitHub/02. 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 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.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 04-Lesson 05_Project Map My World Robot/img/screen-shot-2018-02-12-at-4.14.43-pm.png
3.5 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/16. Turtlesim Comms Echo Messages-HNA7eKhYcyA.mp4
3.4 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/16. Turtlesim Comms Echo Messages-HNA7eKhYcyA.mp4
3.4 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 03-Module 01-Lesson 02_Introduction to ROS/18. Recap-7WOQ89HYhxA.mp4
3.4 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/18. Recap-7WOQ89HYhxA.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 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 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.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 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 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 01-Module 12-Lesson 01_Intro to Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.mp4
2.8 MB
Part 03-Module 01-Lesson 05_Search/07. Maze-yVh0lVlerWs.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 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/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 03-Module 01-Lesson 03_Packages & Catkin Workspaces/07. ROS L2 Recap-OIZsHXuHWuI.mp4
2.6 MB
Part 01-Module 02-Lesson 02_Packages & Catkin Workspaces/07. ROS L2 Recap-OIZsHXuHWuI.mp4
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 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4
2.6 MB
Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.mp4
2.6 MB
Part 03-Module 01-Lesson 03_Packages & Catkin Workspaces/03. Adding a Package-UJlCdokCJJ0.mp4
2.6 MB
Part 01-Module 02-Lesson 02_Packages & Catkin Workspaces/03. Adding a Package-UJlCdokCJJ0.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 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models Are Limited-12AYOYDrpfQ.mp4
2.5 MB
Part 03-Module 01-Lesson 05_Search/04. Compute Cost 2-n9_th4V4qE4.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 02-Lesson 01_Introduction to ROS/10. Sourcing The ROS Environment-6cHlu-KVi98.mp4
2.4 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/10. Sourcing The ROS Environment-6cHlu-KVi98.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 06_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. Classsification Example-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 03-Module 01-Lesson 02_Introduction to ROS/05. Message Passing-IpNp13F-TgQ.mp4
2.1 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/05. Message Passing-IpNp13F-TgQ.mp4
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 03-Module 01-Lesson 02_Introduction to ROS/06. ROS Services-EXYmvpcOnCc.mp4
2.0 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/06. ROS Services-EXYmvpcOnCc.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 03-Module 01-Lesson 05_Search/17. Computing Value 2-t2aT92C2ruA.mp4
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. Classification Example-46PywnGa_cQ.mp4
1.7 MB
Part 01-Module 02-Lesson 01_Introduction to ROS/12. Turtlesim Comms List Active Nodes-J_5JTUi7sQQ.mp4
1.7 MB
Part 03-Module 01-Lesson 02_Introduction to ROS/12. Turtlesim Comms List Active Nodes-J_5JTUi7sQQ.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 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 03-Module 01-Lesson 02_Introduction to ROS/14. Turtlesim Comms Get Info-Y6rMQreuOL4.mp4
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Part 01-Module 02-Lesson 01_Introduction to ROS/14. Turtlesim Comms Get Info-Y6rMQreuOL4.mp4
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Part 01-Module 02-Lesson 01_Introduction to ROS/13. Turtlesim Comms Topics-46YAnfvhTMc.mp4
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Part 03-Module 01-Lesson 02_Introduction to ROS/13. Turtlesim Comms Topics-46YAnfvhTMc.mp4
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Part 01-Module 12-Lesson 07_Project Follow Me/img/patrol-points3.png
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Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/img/screen-shot-2017-10-31-at-1.06.42-pm.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/arch.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper1.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/convolutionalnetworksquiz.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/fk.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.mp4
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/boot-view.png
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Part 01-Module 07-Lesson 01_Perception Overview/img/screen-shot-2017-07-01-at-11.08.18-am.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.mp4
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-12-at-3.01.05-pm.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/and-to-or.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/17. Regularization-Quiz-E0eEW6V0_sA.mp4
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/profile-pics.jpg
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-21-at-1.26.20-pm.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/09. ChainRule-DxOg_olir0k.mp4
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4
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Part 03-Module 01-Lesson 04_Write ROS Nodes/04. Simple Arm-Ki5LkE_xir4.mp4
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Part 01-Module 02-Lesson 03_Write ROS Nodes/04. Simple Arm-Ki5LkE_xir4.mp4
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/img/dusty-nv-turbo.jpg
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper4.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-quiz-reachable-workspace-full-01.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-77-img-combination-v2.png
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/statistical-outlier-removal-cropped.png
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/armenv.png
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Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/img/rl-gazebo.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/obs1.png
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Part 03-Module 01-Lesson 05_Search/06. Optimal Path 2-GvCSZOR3hLQ.mp4
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-01.png
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Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-08-31-at-3.27.10-pm.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/img-20170707-130426.jpg
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Part 01-Module 12-Lesson 03_Deep Neural Networks/02. 02 Number Of Parameters Quiz - Dark Bg-1pfG-l0I5LU.mp4
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/regularization-quiz.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper3.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-2.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/or-quiz.png
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Part 02-Module 03-Lesson 06_Project Where Am I/img/brickbox-gazebo.png
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Part 02-Module 06-Lesson 06_Project Home Service Robot/img/screen-shot-2018-03-19-at-3.07.16-pm.png
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/img/mat-leonard-circle.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screenshot-from-2018-02-12-10-44-44.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/sympy-logo.svg.png
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-yTV3JPJk1kE.mp4
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/screenshot-from-2017-06-21-09-59-15.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-13-at-4.36.49-pm.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-78-img-final-gradient-v2.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-73-img-scalar-function-v2.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c7-01-numerical-solution-to-mle-v1.png
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-07-31-14-58-51.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/vlcsnap-2016-11-24-16h01m35s262.png
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Part 02-Module 08-Lesson 01_Completing the Program/img/screen-shot-2018-07-16-at-1.39.49-pm.png
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-29-29.png
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Part 01-Module 07-Lesson 01_Perception Overview/img/jx10-jetsontx2-170203-0059-transp-2000px.png
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/img/screen-shot-2017-09-21-at-12.55.26-pm.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/teeth-whiskers-tongue.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/loop-closure.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-27-at-4.32.30-pm.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-06-26-at-4.49.29-pm.png
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Part 02-Module 03-Lesson 04_Monte Carlo Localization/img/l4-c7-mcl.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-12.58.20-pm.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/screenshot-from-2017-06-21-09-53-36.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/screenshot-from-2017-07-10-11-22-24.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/rqt-console.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/wifi-mapping1.png
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Part 02-Module 04-Lesson 02_Occupancy Grid Mapping/img/l2c5-01.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/3d-map-rviz.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-5.png
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-21-21.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/demo-1.png
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-vm-mac.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/pick-and-place-fwdkinematics.png
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Part 02-Module 02-Lesson 03_Project Robotic Inference/img/lenetmodeltrain.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/xor-quiz.png
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Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/tradeoff-2.png
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-04-13-23-03.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-15-l-composition-of-homogeneous-transforms-01.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/screenshot-from-2018-02-27-14-32-35.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/cory-kidd.jpg
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-69-octrees-image-01-v1.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/building-a-pid-controller-02.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-12.54.05-pm.png
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Part 02-Module 03-Lesson 02_Kalman Filters/img/e1.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/scara.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-08-02-at-3.37.28-pm.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-08-02-at-5.13.41-pm.png
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Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-a08-quiz.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/3.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-3.00.13-pm.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/buiding-a-pd-controller-02.png
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Part 02-Module 05-Lesson 04_Deep RL/img/screen-shot-2018-03-03-at-8.01.09-pm.png
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/image4.png
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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
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Part 01-Module 07-Lesson 06_3D Perception Project/img/noisy-camera.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/l2121-admissibility-01-v1.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-21-at-3.32.18-pm.png
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-05-at-11.31.01-am.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/willow-garage-map.png.jpg
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-03.png
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/image6.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/getting-to-know-your-simulator-02.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-11-prm-1516-v2.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-37-3dimage-v3.png
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Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-25-at-6.02.37-pm.png
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Part 02-Module 03-Lesson 06_Project Where Am I/img/amcl-ros-gz-small.png
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Part 02-Module 02-Lesson 03_Project Robotic Inference/img/imagenet-digits-model-download.png
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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
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-16-l-denavit-hartenberg-parameter-definitions-02.png
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/screenshot-from-2017-08-02-13-49-56.png
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Part 02-Module 03-Lesson 05_Build MCL in C++/img/step0.png
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Part 03-Module 01-Lesson 06_Project Details/img/ws-copy-paste.png
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Part 02-Module 01-Lesson 01_Introduction to Term 2/img/ws-copy-paste.png
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Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-orange.jpg
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Part 02-Module 03-Lesson 04_Monte Carlo Localization/img/l4-c6-bayesfiltering.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-05.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l20-inverse-kinematics-02.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/5-neural-networks.jpg
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-43-v3.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-41-img-subway-map-v1.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l21-l-inverse-kinematics-01.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/02. Online SLAM-bQ9aQj46cMI.mp4
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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
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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
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-13-at-1.44.40-pm.png
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Part 02-Module 05-Lesson 02_RL Basics/img/paper-notes.svg.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-02.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-07-l-coordinate-frames-and-vectors-03.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/setupa2.jpg
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-ip.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-107-img-bidirectional-v2.png
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/screenshot-from-2017-12-21-00-04-46.png
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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
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.50.54-pm.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/convolution-schematic.gif
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-12.24.46-pm.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/sensor-stick-error.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/sensor-stick-error.png
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/img/gpio-table-r1.png
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/gpio-table-r1.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/points.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/dropout-node.jpeg
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/cross-entropy-diagram.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2018-08-15-at-5.07.03-pm.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-4.37.45-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-read-banner.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-07-at-12.49.55-pm.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/screen-shot-2018-02-22-at-7.28.47-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-do-banner.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/rviz-ex2-2.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/do-build-robotr-01.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-07.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/setupa.png.jpeg
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/nv-rl-stack-diagram.jpg
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/watch-concepts-01.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/watch-concepts-01.png
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/watch-concepts-01.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-13-at-12.53.47-pm.png
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Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-apple.jpg
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-03-at-7.51.28-pm.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/read-papersr-01.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/screenshot-from-2017-06-21-09-42-45.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-08.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-31-at-9.52.41-am.png
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Part 03-Module 01-Lesson 06_Project Details/img/screen-shot-2018-08-16-at-6.42.50-pm.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.49.08-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-watch-banner.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/8.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-74-v2.png
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Part 02-Module 05-Lesson 04_Deep RL/img/screen-shot-2018-03-03-at-8.00.46-pm.png
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-12.02.03-pm.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-08-02-at-4.18.53-pm.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/explores-read-banner.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-11.32.40-am.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-73-v2.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/l3c13-gmapping-ros-package.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/explores-do-banner.png
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Part 01-Module 02-Lesson 01_Introduction to ROS/img/screen-shot-2017-03-27-at-12.48.49-pm.png
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/screen-shot-2017-11-21-at-1.50.26-pm.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/notmnist.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/notmnist.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/heirarchy-diagram.jpg
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-03-maximum-likelihood-v2.png
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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
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/moveit-logo-large.png
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Part 02-Module 02-Lesson 03_Project Robotic Inference/img/digitslogo.png
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Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-digits-model-download.png
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Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-25-at-9.18.00-pm.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-06.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/do-metamaterials-01.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/rviz.png
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Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz.png
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Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-a08-rover.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/explores-watch-banner2.png
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-08-01-13-50-18.png
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Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-2.43.07-pm.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-62-graph-v2.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/mayfield-robotics-logo.jpg
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Part 01-Module 01-Lesson 04_Career Support Overview/img/udacitylogo.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-53-v2.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-03mle-example-images-v2.png
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Part 02-Module 06-Lesson 05_Research in Navigation/img/screen-shot-2018-04-26-at-10.16.20-am.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/screenshot-from-2017-06-22-21-54-24.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-19-l-forward-kinematics-01.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-4.43.05-pm.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/aperspective.jpg
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-04mle-example-images-v3.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-03.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/relu-network.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-2.03.06-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/dash-logo-wide-blackorange-1152x111px.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/proportional-control-3-slide2.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/session.png
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Part 03-Module 01-Lesson 02_Introduction to ROS/img/l1-20-02.png
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/chessboardpattern.jpg
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/img/keras-logo.jpg
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/06-l-supervised-classification-391-1.jpg
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Part 01-Module 12-Lesson 07_Project Follow Me/img/15.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/big-data-360x193.jpg
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Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot-color.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-1.gif
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Part 02-Module 01-Lesson 01_Introduction to Term 2/img/ws-download.png
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Part 02-Module 06-Lesson 05_Research in Navigation/img/a3cworkers.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/max-pooling.png
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-39-v1.png
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Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot.png
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-06-29-at-2.22.29-pm.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/05. Getting to Know Your Simulator.html
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Part 01-Module 12-Lesson 07_Project Follow Me/12. AWS GPU Instance Set Up.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/minkowski-sum-initial.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/07. DBSCAN Algorithm.html
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/transistor-circuit-schematic-r1.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/27. Convolutional Network in TensorFlow.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-28-minkowski-sum-quiz-02-v1.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/05. K-means Playground.html
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Part 02-Module 04-Lesson 04_GraphSLAM/05. Maximum Likelihood Estimation.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/08. Perceptrons as Logical Operators.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/12. Denavit-Hartenberg Parameters.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/11. Composition of Homogeneous Transforms.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/10. Homogeneous Transforms and their Inverse.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/08. Warp, Threshold, Map.html
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/papers-on-swarm-robotics.png
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Part 02-Module 06-Lesson 03_Lab Path Planning/03. BFS Expansion List.html
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/papers-on-robot-grasping.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/03. Biologically Inspired Robots-4Gd-tkG16vo.en.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/two-layer-network.png
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/speaking.png
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Part 02-Module 03-Lesson 06_Project Where Am I/07. Localization AMCL Package.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/06. Understanding Unified Robot Description Format (URDF).html
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Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update.html
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/experiment-with-dexnet.png
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Part 01-Module 02-Lesson 03_Write ROS Nodes/07. Arm Mover The Code.html
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Part 02-Module 05-Lesson 02_RL Basics/19. Quiz One-Step Dynamics, Part 2.html
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Part 01-Module 12-Lesson 03_Deep Neural Networks/13. Save and Restore TensorFlow Models.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/16. Visualizing CNNs.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/Project Rubric - Map My World Robot.html
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-08-at-5.04.19-pm.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/18. Inverse Kinematics.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/24. Logistic Regression Algorithm.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/10. Perceptron Algorithm.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/26. Epochs.html
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Part 01-Module 02-Lesson 03_Write ROS Nodes/11. Look Away The Code.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-sim-windows.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/20. Quiz TensorFlow Dropout.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/06. Filters.html
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/05. OpenCV Calibration.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. Softmax.html
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Part 02-Module 03-Lesson 02_Kalman Filters/18. EKF Example.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/05. Intuition.html
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/05. Controls-6oBw9MLFqok.en.vtt
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Part 01-Module 05-Lesson 01_Intro to Kinematics/09. Serial Manipulator Applications.html
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/08. Exploring the Sim.html
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/04. Quadrotor Kinematic and Dynamic Model 2.html
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Part 02-Module 06-Lesson 06_Project Home Service Robot/08. Wall Follower.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/17. Requirements Challenges.html
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/11. Markov Decision Process.html
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Part 01-Module 12-Lesson 07_Project Follow Me/11. AWS GPU Instance Preparation.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/16. Creating IK Solver for Kuka KR210.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/05. Quiz Build a Rotation Matrix.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/02. Extending your Robot Creation - Sensor Upgrade.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/20. Tuning Strategies 1.html
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Part 02-Module 05-Lesson 02_RL Basics/15. Quiz Pole-Balancing.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/Project Description - Robotic Arm Pick Place.html
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/3rd-order-820.png
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Part 01-Module 07-Lesson 05_Object Recognition/19. Common Questions.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/08. Moveit! Basics.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/pi-control-slide2.png
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Part 01-Module 02-Lesson 01_Introduction to ROS/10. Source the ROS Environment.html
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Part 03-Module 01-Lesson 02_Introduction to ROS/10. Source the ROS Environment.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/08. Euler Angles from a Rotation Matrix .html
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Part 01-Module 12-Lesson 03_Deep Neural Networks/11. Deep Neural Network in TensorFlow.html
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/02. Hardware List.html
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Part 03-Module 01-Lesson 05_Search/12. A-lxCCtgHk5Vs.ja.vtt
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Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/17. Debugging Inverse Kinematics and Optimization.html
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/04. Vision-ovWPxbwkTGA.en.vtt
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Part 01-Module 05-Lesson 01_Intro to Kinematics/03. Degrees of Freedom.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.51.51-pm.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/09. Helpful Tools.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/03. Extending your Robot Creation - Launch Files.html
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/02. Active Sensors.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Neural Network Architecture.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/Project Rubric - Robotic Arm Pick Place.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/19. Control Design Objective and Criteria.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/11. Test Your Methods.html
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Part 01-Module 07-Lesson 06_3D Perception Project/09. Robot Motion.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/05. Exploring Gazebo User Interface.html
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Part 02-Module 06-Lesson 06_Project Home Service Robot/10. Reaching Multiple Goals .html
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Part 02-Module 05-Lesson 02_RL Basics/18. Quiz One-Step Dynamics, Part 1.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. TensorFlow Cross-Entropy.html
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Part 02-Module 02-Lesson 03_Project Robotic Inference/04. Collecting your own Data.html
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Part 01-Module 07-Lesson 06_3D Perception Project/10. Common Questions.html
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Part 01-Module 02-Lesson 01_Introduction to ROS/08. Turtlesim Overview.html
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Part 03-Module 01-Lesson 02_Introduction to ROS/08. Turtlesim Overview.html
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Part 02-Module 02-Lesson 03_Project Robotic Inference/05. Importance of Documentation.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/02. Explore the Simulator.html
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/14. RANSAC Plane Fitting.html
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/10. Voxel Grid Downsampling.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/15. Rover Control.html
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/15. SLAM with ROS.html
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Part 01-Module 05-Lesson 01_Intro to Kinematics/06. Rigid Bodies in Free Space.html
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/11. Creating a Point Cloud from RGB-D Data.html
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Part 02-Module 02-Lesson 02_Inference Applications in Robotics/03. Metrics.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Backpropagation.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/11. Tensorflow Softmax.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/proportional-control-3-slide3.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/05. Installing Tensorflow.html
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Part 03-Module 01-Lesson 06_Project Details/05. Udacity Workspace.html
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/02. CC++ API.html
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/06. Transistor Switch Circuit.html
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Part 03-Module 01-Lesson 01_Project Introduction/04. Contest Terms Conditions.html
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Part 01-Module 12-Lesson 07_Project Follow Me/08. Udacity GPU Workspace Introduction.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/18. Common Questions.html
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/06. Rapidly Exploring Random Tree Method (RRT).html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/28. TensorFlow Convolution Layer.html
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Part 02-Module 04-Lesson 04_GraphSLAM/12. Nonlinear Constraints.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/32. Lab Tensorflow CNN.html
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/10. Publish Your Point Cloud.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/14. More Decisions.html
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/05. Probabilistic Roadmap (PRM).html
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Part 01-Module 01-Lesson 03_Search and Sample Return/10. Decision Where to Go.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Trick.html
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Part 02-Module 03-Lesson 06_Project Where Am I/05. RViz Integration.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/09. Final Considerations.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/13. DH Parameter Assignment Algorithm.html
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/13. IoU Quiz.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/18. Beyond the Ideal Case - Noise.html
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Part 01-Module 07-Lesson 05_Object Recognition/17. Object Recognition.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/12. Ubuntu Install and Common Troubleshooting.html
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Part 01-Module 01-Lesson 04_Career Support Overview/img/screen-shot-2017-10-27-at-1.49.58-pm.png
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Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/img/career-portal-sidebar.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/13. gmapping ROS Package.html
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Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/03. Catch Game Sample.html
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Part 03-Module 01-Lesson 05_Search/12. A-lxCCtgHk5Vs.en.vtt
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/04. Calibration Pattern.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/Project Description - Search and Sample Return.html
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/15. DO Lab - Build a Robot Prototype Under $25.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/13. Forward Kinematics with Kuka KR210.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/10. 3D Configuration Space.html
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. DO Lab - Make an Earthworm.html
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/05. Motors and Sensors.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/10. PI Control.html
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Part 01-Module 07-Lesson 05_Object Recognition/16. Improve Your Model.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/14. Debugging Forward Kinematics.html
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Part 01-Module 12-Lesson 03_Deep Neural Networks/07. Quiz TensorFlow ReLUs.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/19. TensorFlow Max Pooling.html
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/img/pb69safjwk6kovqq0vfj.png
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Part 02-Module 06-Lesson 05_Research in Navigation/02. Navigation with Deep RL.html
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Part 02-Module 03-Lesson 04_Monte Carlo Localization/05. Bayes Filtering.html
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Part 01-Module 05-Lesson 01_Intro to Kinematics/07. Joint Types.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/11. Going Above and Beyond - Other RTAB-Map Features.html
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Part 02-Module 04-Lesson 04_GraphSLAM/11. Inference.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/28. Understanding Jupyter Workspaces.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/09. Pick and Place Demo Walkthrough.html
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/08. Lab Encoder.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/06. Hello, Tensor World!.html
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Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter.html
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Get Opportunities with LinkedIn.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/06. Rotations in Sympy.html
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Part 01-Module 12-Lesson 07_Project Follow Me/04. Collecting your Data.html
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Part 01-Module 07-Lesson 06_3D Perception Project/04. Project Demo.html
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/03. Swarm Robots in Medicine.html
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/02. READ Research Papers.html
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Part 01-Module 02-Lesson 01_Introduction to ROS/02. Build Robots with ROS.html
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/01. Introduction.html
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Part 01-Module 05-Lesson 01_Intro to Kinematics/10. Quiz Reachable Workspace.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/16. Challenge!.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/equations.png
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Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.en.vtt
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn4.gif
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.zh-CN.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.zh-CN.vtt
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Part 01-Module 02-Lesson 01_Introduction to ROS/02. Build Robots with ROS-7eaz0qW7y_I.en.vtt
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Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter-1nHSG4U_v2g.en.vtt
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/codecogseqn3.gif
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Part 01-Module 10-Lesson 01_Introduction to Controls/01. Overview Of Controls Engineering-NL5e9LsWItQ.en.vtt
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-3.png
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Part 01-Module 01-Lesson 04_Career Support Overview/02. Design Review-IlXkmoY_8Vw.en.vtt
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Part 02-Module 03-Lesson 05_Build MCL in C++/08. Resampling-WdW72nTVT8M.en.vtt
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Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.en.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.zh-CN.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Classsification Example-Dh625piH7Z0.en.vtt
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/gif.latex.gif
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Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.pt-BR.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. 15 Tensorflow CrossEntropy V1-bYDXA6XPQnM.en.vtt
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Part 01-Module 07-Lesson 05_Object Recognition/01. Intro To Object Recognition-Sy2Wk-FYSJU.en.vtt
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/homo-xform-2.png
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Part 02-Module 06-Lesson 06_Project Home Service Robot/01. Introduction-WchXpePVMuI.en.vtt
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Part 03-Module 01-Lesson 05_Search/01. Motion Planning-KHAu5A_flcQ.zh-CN.vtt
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/13. Robot Grasping Challenge-B9KrDaOhrco.en.vtt
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Part 03-Module 01-Lesson 05_Search/03. Compute Cost-dBA94pR6JYw.zh-CN.vtt
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Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.ar.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.zh-CN.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.en.vtt
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/06. Recap-DFS1K_rz1BI.en.vtt
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Part 02-Module 02-Lesson 01_Inference Development/05. Deploy The Model-psrSmyk55O8.en.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.zh-CN.vtt
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Part 02-Module 02-Lesson 03_Project Robotic Inference/08. Project Summary--BRAUHCVEpM.en.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.pt-BR.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.pt-BR.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/09. ChainRule-DxOg_olir0k.en.vtt
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/12. 3D Perception Summary-SVSHlRLLCFo.en.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/20. 23 Validation Set Size Continued-cXj-FLdPGgg.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.zh-CN.vtt
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Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges Solution-2W60lfPQYZY.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-5.gif
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-t2aT92C2ruA.ru.vtt
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Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt
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Part 03-Module 01-Lesson 05_Search/07. Maze-yVh0lVlerWs.ja.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt
357 Bytes
Part 01-Module 03-Lesson 01_GitHub/05. 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
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Part 03-Module 01-Lesson 05_Search/16. Computing Value-ebFQqd7Uhek.ru.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-t2aT92C2ruA.ja.vtt
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Part 03-Module 01-Lesson 05_Search/16. Computing Value-ebFQqd7Uhek.ja.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Search/08. Maze 2-aBUxPyEDOWw.ru.vtt
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Part 03-Module 01-Lesson 05_Search/16. Computing Value-ebFQqd7Uhek.en.vtt
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Part 03-Module 01-Lesson 05_Search/06. Optimal Path 2-GvCSZOR3hLQ.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-t2aT92C2ruA.en.vtt
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Part 03-Module 01-Lesson 05_Search/06. Optimal Path 2-GvCSZOR3hLQ.en.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-t2aT92C2ruA.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Search/08. Maze 2-aBUxPyEDOWw.ja.vtt
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Part 03-Module 01-Lesson 05_Search/16. Computing Value-ebFQqd7Uhek.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Search/08. Maze 2-aBUxPyEDOWw.zh-CN.vtt
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Part 03-Module 01-Lesson 05_Search/06. Optimal Path 2-GvCSZOR3hLQ.ja.vtt
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Part 03-Module 01-Lesson 05_Search/08. Maze 2-aBUxPyEDOWw.en.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-yTV3JPJk1kE.ru.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-yTV3JPJk1kE.ja.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-yTV3JPJk1kE.en.vtt
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Part 03-Module 01-Lesson 05_Search/17. Computing Value 2-yTV3JPJk1kE.zh-CN.vtt
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