Udacity - Robotics Software Engineer v1.0.0

mp4   Hot:503   Size:4.93 GB   Created:2019-01-27 11:37:32   Update:2021-12-12 02:24:35  

File List

  • 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 213.04 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 207.91 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 188.59 MB
    Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/03. Biologically Inspired Robots-4Gd-tkG16vo.mp4 82.74 MB
    Part 03-Module 01-Lesson 05_Search/12. A-lxCCtgHk5Vs.mp4 76.44 MB
    Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/05. Controls-6oBw9MLFqok.mp4 64.65 MB
    Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/04. Vision-ovWPxbwkTGA.mp4 64.12 MB
    Part 03-Module 01-Lesson 05_Search/09. First Search Program - Artificial Intelligence for Robotics-TPIFP4E7DVo.mp4 61.35 MB
    Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/09. Swarm Robotics Podcast-nKMp5tyM_rs.mp4 49.8 MB
    Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.mp4 48.38 MB
    Part 03-Module 01-Lesson 05_Search/09. First Search Program Solution - Artificial Intelligence for Robotics-cl8Kdkr4Gbg.mp4 46.35 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/16. 04 Soft Robotics And Food-P7c-c4O4GGA.mp4 43.37 MB
    Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/12. 04 Soft Robotics And Food-P7c-c4O4GGA.mp4 43.37 MB
    Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/11. 05 Soft Robotics Process-3FJ5mXcBHwM.mp4 37.9 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/15. 05 Soft Robotics Process-3FJ5mXcBHwM.mp4 37.9 MB
    Part 03-Module 01-Lesson 05_Search/13. Implement A-SSyvcCZKlqo.mp4 34.87 MB
    Part 03-Module 01-Lesson 05_Search/20. Left Turn Policy-bQA2ELDNmmg.mp4 34.34 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/20. Soft Robotics with Rajat Mishra-F_k2ZtUxvPE.mp4 34.2 MB
    Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/10. 02 Materials And Actuators-2H8rIBcDOr4.mp4 33.73 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/13. 02 Materials And Actuators-2H8rIBcDOr4.mp4 33.73 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/17. 06 State And Future Of Soft Robotics-nNcIRmtTyek.mp4 33.7 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/22. Miura Ori HS V3-bNFtPHYuODY.mp4 33.35 MB
    Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 32.54 MB
    Part 03-Module 01-Lesson 05_Search/14. A in Action-qXZt-B7iUyw.mp4 32.21 MB
    Part 01-Module 01-Lesson 02_What is a Robot/01. What Is A Robot-MooPT63kaMc.mp4 31.95 MB
    Part 03-Module 01-Lesson 05_Search/20. Left Turn Policy-rH5DKpwYQLY.mp4 29.76 MB
    Part 03-Module 01-Lesson 05_Search/15. Dynamic Programming-r2bPY2s9wII.mp4 28.3 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/14. 03 Soft Robotics Profile-927eDRsVySE.mp4 27.86 MB
    Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network-GgtR_d1OB-M.mp4 25.67 MB
    Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.04 MB
    Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.04 MB
    Part 01-Module 01-Lesson 01_Welcome/02. Meet Your Instructors-3Zp2ukfskyE.mp4 24.73 MB
    Part 02-Module 01-Lesson 01_Introduction to Term 2/03. Term 2 Objectives-dnAa2z6Zflw.mp4 23.55 MB
    Part 03-Module 01-Lesson 06_Project Details/08. KUKA Project Walkthrough Video-eB_l8Azxykg.mp4 23.27 MB
    Part 03-Module 01-Lesson 05_Search/18. Value Program-FdT1g_Bzjm0.mp4 23.26 MB
    Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.79 MB
    Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.79 MB
    Part 01-Module 01-Lesson 03_Search and Sample Return/img/rover-autonomous-example-1.gif 21.77 MB
    Part 02-Module 02-Lesson 01_Inference Development/02. Nvidia DIGITS-r-GkoqePIys.mp4 21.03 MB
    Part 02-Module 05-Lesson 04_Deep RL/06. Fixed Q Targets-SWpyiEezfp4.mp4 20.97 MB
    Part 01-Module 12-Lesson 08_Term 1 Outro/01. Term 1 Outro V2-YHlnUpIgWTc.mp4 20.93 MB
    Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 20.63 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/12. 01 Intro-Career 1-ZLwtRdZYORg.mp4 20.43 MB
    Part 02-Module 05-Lesson 02_RL Basics/22. Policies-hc3LrvaC13U.mp4 20.24 MB
    Part 01-Module 01-Lesson 01_Welcome/01. The World of Robotics-J_lXNPRIwag.mp4 19.44 MB
    Part 01-Module 07-Lesson 01_Perception Overview/01. Perception And Robotics--bJTOygkGPw.mp4 18.86 MB
    Part 03-Module 01-Lesson 05_Search/01. Motion Planning-KHAu5A_flcQ.mp4 18.17 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/orbit-2-1.gif 18.09 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/06. Robot Uncertainty-5NAb2iyu2uo.mp4 18.06 MB
    Part 03-Module 01-Lesson 05_Search/21. Planning Conclusion-M7ZJ74RVHqo.mp4 18.06 MB
    Part 02-Module 03-Lesson 03_Lab Kalman Filters/06. Robot Pose EKF Package-1XW1VtpztGE.mp4 17.88 MB
    Part 01-Module 01-Lesson 03_Search and Sample Return/img/spinning-rover.gif 17.78 MB
    Part 02-Module 03-Lesson 01_Introduction to Localization/01. Localization in Robotics-AcZY7n8XPZo.mp4 17.72 MB
    Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4 17.37 MB
    Part 02-Module 01-Lesson 02_The Jetson TX2/01. Introduction-qAitoH9xVl8.mp4 16.46 MB
    Part 02-Module 01-Lesson 01_Introduction to Term 2/04. Term 2 Outline-AD3LDaDhJ5Y.mp4 16.38 MB
    Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges-J_ggwD8zip0.mp4 15.59 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/req-challenge.gif 15.59 MB
    Part 02-Module 03-Lesson 03_Lab Kalman Filters/11. RQT Multiplot-ZEpVMvXC6jQ.mp4 15.48 MB
    Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/lidar.gif 15.36 MB
    Part 02-Module 03-Lesson 03_Lab Kalman Filters/02. Sensor Fusion-Uc_MUK_olJk.mp4 15.01 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/15. 14 Rover Controls-c5Rt94YyQm0.mp4 14.92 MB
    Part 02-Module 03-Lesson 03_Lab Kalman Filters/05. TurtleBot Gazebo Package-huR9KRtmNAM.mp4 14.82 MB
    Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.mp4 14.75 MB
    Part 02-Module 01-Lesson 02_The Jetson TX2/02. Jetson Overview-i56qM6NNW9A.mp4 14.64 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/fps-2-1.gif 14.43 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/09. Designing 1D Kalman FIlter-5YChifc8z1M.mp4 14.41 MB
    Part 02-Module 05-Lesson 02_RL Basics/14. Discounted Return-opXGNPwwn7g.mp4 14.3 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/15. C2L2 A15 V3-K-FobmdRMtI.mp4 14.14 MB
    Part 03-Module 01-Lesson 01_Project Introduction/02. Udacity Robot Learning Lab MHS Update-MThf6RUd3Gw.mp4 13.99 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/02. What's A Kalman Filter-Cd5KKT7PfdE.mp4 13.91 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/01. Introducing Luis!-Oc1dUU2fa2g.mp4 13.87 MB
    Part 02-Module 08-Lesson 01_Completing the Program/01. Congratulations!-ZuW_UQrH9EI.mp4 13.69 MB
    Part 03-Module 01-Lesson 05_Search/10. Expansion Grid - Artificial Intelligence for Robotics-1l7bWfz8sJw.mp4 13.18 MB
    Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.17 MB
    Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.17 MB
    Part 02-Module 03-Lesson 03_Lab Kalman Filters/01. Introduction-AwjP4ABJjoo.mp4 13.04 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/14. 14 Ros Nodes-l4N0ToiDm9U.mp4 12.86 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/07. Kalman Filter Advantage-thwTZvbzAgk.mp4 12.81 MB
    Part 02-Module 01-Lesson 02_The Jetson TX2/04. Jetson Setup-OY41LEFi5_A.mp4 12.81 MB
    Part 02-Module 02-Lesson 01_Inference Development/01. Overview-DrRsTUzqweM.mp4 12.51 MB
    Part 01-Module 07-Lesson 05_Object Recognition/04. Color Spaces-6WPGx4WAkZw.mp4 12.48 MB
    Part 02-Module 01-Lesson 04_Lab Hardware Hello World/06. Transistor Switch Circuit-1PjhInEigOM.mp4 12.14 MB
    Part 02-Module 03-Lesson 04_Monte Carlo Localization/02. What's MCL-RiFI2VzSFp8.mp4 11.87 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/topdown-2-1.gif 11.86 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/select-tool-2-1.gif 11.75 MB
    Part 02-Module 01-Lesson 01_Introduction to Term 2/02. Term 2 Introduction-k1DHTEh4qVw.mp4 11.65 MB
    Part 03-Module 01-Lesson 02_Introduction to ROS/02. Build Robots with ROS-7eaz0qW7y_I.mp4 11.63 MB
    Part 01-Module 02-Lesson 01_Introduction to ROS/02. Build Robots with ROS-7eaz0qW7y_I.mp4 11.63 MB
    Part 02-Module 03-Lesson 01_Introduction to Localization/03. Overview-NV1j739Tlw8.mp4 11.52 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/16. Introduction to EKF-dwpKthaQ6ts.mp4 11.34 MB
    Part 02-Module 01-Lesson 04_Lab Hardware Hello World/03. LED Circuit-LpljUGQJkh0.mp4 11.29 MB
    Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/04. Breadboard-UAY8HtXyzQ0.mp4 11.2 MB
    Part 03-Module 01-Lesson 05_Search/18. Value Program-RXpuBRA-cpo.mp4 11.15 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/13. 13 External Library-cC_14mJUw78.mp4 10.78 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/14. Intro to Multidimensional KF-9Xb5WavDqKE.mp4 10.64 MB
    Part 01-Module 01-Lesson 01_Welcome/03. Projects You Will Build-inT5Ns2DvAs.mp4 10.42 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 10.38 MB
    Part 02-Module 03-Lesson 05_Build MCL in C++/07. Importance Weight-MPJVPvjruZo.mp4 10.24 MB
    Part 02-Module 01-Lesson 01_Introduction to Term 2/01. Term 2 Handoff-2LWpsXSUATE.mp4 10.24 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/02. Intro to Neural Networks-mZcMUcJVcqY.mp4 10.18 MB
    Part 03-Module 01-Lesson 05_Search/19. Optimum Policy-7kllZxX-Nso.mp4 10.18 MB
    Part 03-Module 01-Lesson 05_Search/08. Maze 2-YwAyqkznxa0.mp4 10.14 MB
    Part 01-Module 01-Lesson 04_Career Support Overview/03. Meet the Careers Team-cuKecPpZ7PM.mp4 10.12 MB
    Part 01-Module 05-Lesson 01_Intro to Kinematics/02. Intro To Kinematics-IGnXJvLCco8.mp4 10.1 MB
    Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/01. Introduction-xMmMFhMoS8M.mp4 10.1 MB
    Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4 10.07 MB
    Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.mp4 10.01 MB
    Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/03. GPIO-5kBPBKjtWsQ.mp4 9.98 MB
    Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 9.98 MB
    Part 02-Module 05-Lesson 02_RL Basics/13. Cumulative Reward-ysriH65lV9o.mp4 9.96 MB
    Part 02-Module 03-Lesson 05_Build MCL in C++/01. Introduction-Z7tgQBESh7A.mp4 9.91 MB
    Part 02-Module 03-Lesson 04_Monte Carlo Localization/04. Particle Filters-flFKViJI-18.mp4 9.82 MB
    Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.mp4 9.59 MB
    Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 9.59 MB
    Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/03. SLAM-CagI0msfEjc.mp4 9.54 MB
    Part 02-Module 02-Lesson 02_Inference Applications in Robotics/01. Overview-Jn6pk-A2KXw.mp4 9.53 MB
    Part 02-Module 02-Lesson 03_Project Robotic Inference/03. Picking Your Robotic Inference Idea-gDfTPZUD8dE.mp4 9.41 MB
    Part 01-Module 05-Lesson 01_Intro to Kinematics/08. Principal Types Of Serial Manipulators-_i2g68BdrO0.mp4 9.37 MB
    Part 03-Module 01-Lesson 05_Search/11. Print Path-CyQ2gl-9W4o.mp4 9.33 MB
    Part 03-Module 01-Lesson 05_Search/11. Print Path-6UJFZf40aBg.mp4 9.29 MB
    Part 01-Module 01-Lesson 03_Search and Sample Return/07. Perspective Transform-DQUkU-VaMXI.mp4 9.29 MB
    Part 01-Module 01-Lesson 03_Search and Sample Return/01. Overview of the Project-c7q2IJntS1g.mp4 9.28 MB
    Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.mp4 9.17 MB
    Part 01-Module 07-Lesson 05_Object Recognition/08. Surface Normals-pHnb_VgjZN0.mp4 9.07 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. Building an Earthworm Robot-34HvCniBTIA.mp4 9.03 MB
    Part 01-Module 12-Lesson 07_Project Follow Me/05. Collection Method1-2djhWHSiYsk.mp4 8.95 MB
    Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 8.93 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/20. RSEND T1P2 W Part 3 V2-0e-X7rPxRyM.mp4 8.65 MB
    Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.mp4 8.46 MB
    Part 03-Module 01-Lesson 04_Write ROS Nodes/07. L3 Arm Mover The Code-0Li845bwxyM.mp4 8.45 MB
    Part 01-Module 02-Lesson 03_Write ROS Nodes/07. L3 Arm Mover The Code-0Li845bwxyM.mp4 8.45 MB
    Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/02. Battery-c4LQLIB-WYc.mp4 8.44 MB
    Part 01-Module 12-Lesson 04_Convolutional Neural Networks/04. Convolutional Networks-ISHGyvsT0QY.mp4 8.42 MB
    Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.mp4 8.33 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/img/moveit-demo.gif 8.27 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/05. Understanding Unified Robot Description Format-7Ot8UURxQdg.mp4 8.26 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/13. Multivariate Gaussian-ih69P0KJgII.mp4 8.25 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/01. 01 L Overview-QgaDYTV4478.mp4 8.24 MB
    Part 03-Module 01-Lesson 05_Search/16. Computing Value-Sn-ZUbZdOn8.mp4 8.18 MB
    Part 01-Module 07-Lesson 05_Object Recognition/01. Intro To Object Recognition-Sy2Wk-FYSJU.mp4 8.12 MB
    Part 01-Module 01-Lesson 04_Career Support Overview/02. Design Review-IlXkmoY_8Vw.mp4 8.1 MB
    Part 02-Module 05-Lesson 02_RL Basics/11. Goals and Rewards, Part 2-pVIFc72VYH8.mp4 8.05 MB
    Part 02-Module 03-Lesson 05_Build MCL in C++/09. Resampling Wheel-tYuSA4I09O8.mp4 7.99 MB
    Part 01-Module 12-Lesson 07_Project Follow Me/01. 02 Lesson 08 Outro 1-Lm9Y1Wl9gFY.mp4 7.76 MB
    Part 02-Module 05-Lesson 02_RL Basics/03. The Setting-nh8Gwdu19nc.mp4 7.75 MB
    Part 03-Module 01-Lesson 05_Search/05. Optimal Path-wLz-nF2CrHc.mp4 7.72 MB
    Part 02-Module 02-Lesson 03_Project Robotic Inference/01. Intro-9e-v87sKklE.mp4 7.67 MB
    Part 01-Module 01-Lesson 03_Search and Sample Return/02. Exploring the Simulator-YWiDvpjyBio.mp4 7.55 MB
    Part 01-Module 01-Lesson 04_Career Support Overview/01. Careers In Robotics Catalia Health-HS8ALYfDgJw.mp4 7.54 MB
    Part 02-Module 05-Lesson 02_RL Basics/img/chess-game.jpg 7.54 MB
    Part 01-Module 10-Lesson 01_Introduction to Controls/03. Closed-Loop Control-6R5YT5xgYak.mp4 7.5 MB
    Part 03-Module 01-Lesson 05_Search/05. Optimal Path-Exl_kCyUc8U.mp4 7.49 MB
    Part 01-Module 07-Lesson 04_Clustering for Segmentation/02. Downside Of Model Fitting-ouN0KjZZrGY.mp4 7.49 MB
    Part 01-Module 10-Lesson 01_Introduction to Controls/01. Overview Of Controls Engineering-NL5e9LsWItQ.mp4 7.46 MB
    Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/01. Overview-duiryUlNVKQ.mp4 7.44 MB
    Part 02-Module 04-Lesson 04_GraphSLAM/04. Front End Vs Back End -mLKwe-AAJc8.mp4 7.39 MB
    Part 02-Module 05-Lesson 02_RL Basics/05. The Setting, Revisited-V6Q1uF8a6kA.mp4 7.36 MB
    Part 02-Module 06-Lesson 02_Classic Path Planning/09. Translation And Rotation-ZVAJmzOk5p4.mp4 7.3 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/31. Neural Networks Wrap Up-1bq6c44nQnU.mp4 7.3 MB
    Part 02-Module 05-Lesson 01_Intro to RL for Robotics/02. Deep RL in Robotics-IjG_IWJdb1w.mp4 7.29 MB
    Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/07. Composition Of Rotations-gDROQkL6sdY.mp4 7.28 MB
    Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/01. Swarm Robotics Intro-tn54WOSQDtI.mp4 7.27 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/09. 08 Functions And Data Structures-eVJvHeeirwc.mp4 7.24 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.mp4 7.21 MB
    Part 02-Module 02-Lesson 02_Inference Applications in Robotics/02. Embedded Examples-GWEaRK6w6LM.mp4 7.19 MB
    Part 02-Module 04-Lesson 04_GraphSLAM/01. Introduction-zya9-JPqkLE.mp4 7.19 MB
    Part 02-Module 06-Lesson 02_Classic Path Planning/02. Examples Of Path Planning-uIHSZ6N7Xok.mp4 7.19 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp4 7.16 MB
    Part 03-Module 01-Lesson 05_Search/03. Compute Cost-dBA94pR6JYw.mp4 7.14 MB
    Part 02-Module 01-Lesson 04_Lab Hardware Hello World/01. Overview Of Hardware Lab-ZD8f8OBA5tE.mp4 7.13 MB
    Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies-2rguYpVyCto.mp4 7.11 MB
    Part 02-Module 03-Lesson 04_Monte Carlo Localization/01. Introduction-uEt_lRFqtwE.mp4 7.02 MB
    Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/02. Mapping-xHOfiYhhzJ4.mp4 7.02 MB
    Part 02-Module 05-Lesson 01_Intro to RL for Robotics/03. Lesson Roadmap-Kf5G6Tj1Q5A.mp4 7.01 MB
    Part 01-Module 02-Lesson 01_Introduction to ROS/08. Turtlesim Overview-GcAqAdMQXvM.mp4 6.97 MB
    Part 03-Module 01-Lesson 02_Introduction to ROS/08. Turtlesim Overview-GcAqAdMQXvM.mp4 6.97 MB
    Part 02-Module 04-Lesson 03_Grid-based FastSLAM/15. SLAM With ROS -APwvoT_w9Cw.mp4 6.96 MB
    Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/08. Point Cloud Filtering-bop3tRyvRxU.mp4 6.94 MB
    Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 6.92 MB
    Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 6.92 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/09. 09 L Pick And Place Demo Walkthrough-FWv9YZX3mzE.mp4 6.89 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. 21 CrossEntropy Formula-azXzz_zgiac.mp4 6.86 MB
    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/18. 07 Getting Into Soft Robotics-cBmTs79s3HI.mp4 6.85 MB
    Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4 6.84 MB
    Part 01-Module 05-Lesson 01_Intro to Kinematics/01. Kinematics Lessons Overview-9CqZ4TbGxJE.mp4 6.82 MB
    Part 02-Module 05-Lesson 02_RL Basics/17. MDPs, Part 2-CUTtQvxKkNw.mp4 6.82 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/10. 10 Classes And Objects-r7hwI_O9SdA.mp4 6.81 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/03. 03 Overview-nJ2xSBmlYHw.mp4 6.77 MB
    Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/01. Introduction-ouAVFq9QJuo.mp4 6.76 MB
    Part 01-Module 07-Lesson 06_3D Perception Project/11. Outro To Perception Project-uA4bL-oku9k.mp4 6.71 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/04. Applications-EIOqFwzB4j8.mp4 6.7 MB
    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/11. Kuka KR210 Forward Kinematics Part 02-CNQ9CE_itBg.mp4 6.6 MB
    Part 02-Module 05-Lesson 02_RL Basics/29. Action-Value Functions-KJLaRfOOPGA.mp4 6.6 MB
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    Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/02. Sensor Calibration-nrOwEXhHR0g.mp4 5.94 MB
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    Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/01. Intro HS V4-5VWOIx9nJ9o.mp4 5.86 MB
    Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.mp4 5.78 MB
    Part 02-Module 06-Lesson 06_Project Home Service Robot/01. Introduction-WchXpePVMuI.mp4 5.77 MB
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    Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & Robot Ethics/01. Mike Intro Wth Intro Graphic--JkzOHVtsys.mp4 5.54 MB
    Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/01. Intro-4oc6WDooP0U.mp4 5.52 MB
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    Part 01-Module 01-Lesson 02_What is a Robot/04. Action-P-tzy1C7bJU.mp4 5.05 MB
    Part 02-Module 04-Lesson 04_GraphSLAM/14. Intro To 3D SLAM With RTAB Map -CbVNZ0J5Pmg.mp4 5.02 MB
    Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.mp4 5 MB
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    Part 02-Module 03-Lesson 05_Build MCL in C++/06. Particle Filter-UN9e0li6W38.mp4 4.96 MB
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    Part 02-Module 05-Lesson 05_DQN Lab/01. C4 L5 A01-kTKXJPzGzT0.mp4 4.92 MB
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    Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/speckled-1.png 4.87 MB
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    Part 02-Module 05-Lesson 04_Deep RL/03. DQN Overview-WgiAvr7COR0.mp4 4.85 MB
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    Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/10. Intro To Probabilistic Path Planning-CF6kz2H00ZU.mp4 4.81 MB
    Part 02-Module 03-Lesson 04_Monte Carlo Localization/03. Power Of MCL-xwOWl7cGwOU.mp4 4.78 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/11. 11 Inheritance And Pointers-E3B9GHqEdj4.mp4 4.75 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/01. 01 Introducing Karim-_zF81prFQw4.mp4 4.75 MB
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    Part 01-Module 12-Lesson 05_Fully Convolutional Networks/01. 00 Kelvin Intro-TORyP4mA_eg.mp4 4.7 MB
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    Part 02-Module 04-Lesson 04_GraphSLAM/19. Outro-PN6cQJA1N40.mp4 4.64 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. 16 Probability-hqaj7NaJWk4.mp4 4.62 MB
    Part 02-Module 03-Lesson 04_Monte Carlo Localization/06. MCL The Algorithm-nNkCTQw0D_I.mp4 4.62 MB
    Part 02-Module 02-Lesson 01_Inference Development/04. Inference Engine On TX2-3zNa1_3I0wo.mp4 4.59 MB
    Part 02-Module 05-Lesson 03_Q-Learning Lab/01. Introduction-NXV-hWtXOqQ.mp4 4.58 MB
    Part 03-Module 01-Lesson 05_Search/07. Maze-ge_-o0RfrgM.mp4 4.57 MB
    Part 02-Module 04-Lesson 02_Occupancy Grid Mapping/02. 02 L Importance Of Mapping V1-fG2gvwinGxg.mp4 4.47 MB
    Part 01-Module 10-Lesson 02_Quadrotor Control using PID/16. Outro Positional Controller-FHb6KdQG2uM.mp4 4.47 MB
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    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/05. 05 Ubuntu Setup-7r_E3h90ZFI.mp4 4.45 MB
    Part 01-Module 07-Lesson 05_Object Recognition/18. Recognition Wrap-up-teROYZudh7c.mp4 4.45 MB
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    Part 01-Module 10-Lesson 02_Quadrotor Control using PID/01. Introduction to a Positional Controller-NSbq_g9pUds.mp4 4.36 MB
    Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/01. Setting up the Problem-kLlc5aWmPXg.mp4 4.36 MB
    Part 01-Module 07-Lesson 04_Clustering for Segmentation/01. Intro to Object Segmentation-u3EHyCSWlSw.mp4 4.33 MB
    Part 02-Module 04-Lesson 02_Occupancy Grid Mapping/03. Challenges and Difficulties -nSNTCJtuO38.mp4 4.32 MB
    Part 02-Module 02-Lesson 03_Project Robotic Inference/08. Project Summary--BRAUHCVEpM.mp4 4.26 MB
    Part 01-Module 01-Lesson 02_What is a Robot/03. Decision Making-TQtZx-5xyBk.mp4 4.26 MB
    Part 02-Module 03-Lesson 04_Monte Carlo Localization/07. MCL in Action-VgEGrvgty_k.mp4 4.23 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp4 4.22 MB
    Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/08. 07 Compile And Execute-yyr-V_m-zzE.mp4 4.2 MB
    Part 03-Module 01-Lesson 05_Search/02. 04-DdUNkuDszBM.mp4 4.15 MB
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    Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/09. Let's make a deal-l1xMgirpwCU.mp4 4.11 MB
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    Part 01-Module 07-Lesson 06_3D Perception Project/01. Intro To Perception Project-NCSCELDGhIw.mp4 4.11 MB
    Part 02-Module 06-Lesson 02_Classic Path Planning/19. Graph Search-aA17XOlX044.mp4 4.1 MB
    Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/16. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.mp4 4.1 MB
    Part 03-Module 01-Lesson 05_Search/04. Compute Cost 2-OXIESpN0KaE.mp4 4.08 MB
    Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.mp4 4.08 MB
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    Part 02-Module 04-Lesson 03_Grid-based FastSLAM/08. Introduction To FastSLAM -HIrt25hK-oI.mp4 4.05 MB
    Part 01-Module 07-Lesson 02_Introduction to 3D Perception/06. Why RGB-D-Epy9a_7fRe4.mp4 4.05 MB
    Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/06. Rapidly Exploring Random Tree(PRT)-kOS76UR7Fo8.mp4 4.05 MB
    Part 02-Module 04-Lesson 04_GraphSLAM/13. Graph-SLAM At a Glance-d29m7d-DBYE.mp4 4.04 MB
    Part 02-Module 06-Lesson 02_Classic Path Planning/27. Discrete Planning Wrap-Up-UKntCcGaFNo.mp4 4.03 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 4.01 MB
    Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.mp4 3.99 MB
    Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 3.99 MB
    Part 01-Module 07-Lesson 01_Perception Overview/04. Summary-H8uVlURy03k.mp4 3.99 MB
    Part 03-Module 01-Lesson 02_Introduction to ROS/07. Compute Graph-dWc4ktFohNg.mp4 3.98 MB
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    Part 01-Module 07-Lesson 04_Clustering for Segmentation/04. K-Means Clustering-YqmIdTZ6puQ.mp4 3.97 MB
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    Part 01-Module 07-Lesson 02_Introduction to 3D Perception/07. RGB Image Formation-1tQKqTuY8_4.mp4 3.93 MB
    Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.mp4 3.92 MB
    Part 02-Module 04-Lesson 04_GraphSLAM/10. Information Matrix and Information Vector -3rsLNj2fQ4Y.mp4 3.92 MB
    Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. 15 Tensorflow CrossEntropy V1-bYDXA6XPQnM.mp4 3.9 MB
    Part 02-Module 02-Lesson 01_Inference Development/05. Deploy The Model-psrSmyk55O8.mp4 3.86 MB
    Part 02-Module 04-Lesson 03_Grid-based FastSLAM/12. The Grid-based FastSLAM Algorithm-yFKc-2j6BMs.mp4 3.86 MB
    Part 02-Module 03-Lesson 02_Kalman Filters/19. Recap-a-wUWkxWPqY.mp4 3.86 MB
    Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1-NBWbluSbxPg.mp4 3.86 MB
    Part 03-Module 01-Lesson 05_Search/06. Optimal Path 2-qFswCrEUZSM.mp4 3.85 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.mp4 3.85 MB
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    Part 03-Module 01-Lesson 02_Introduction to ROS/03. Brief History of ROS-Cw-FEyqU2NI.mp4 3.8 MB
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    Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place/12. Kuka KR210 Forward Kinematics Part 03-nQ8PiP1BlSA.mp4 3.79 MB
    Part 02-Module 04-Lesson 04_GraphSLAM/15. 3D SLAM With RTAB-Map -YpDVapcNaVw.mp4 3.78 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp4 3.76 MB
    Part 03-Module 01-Lesson 05_Search/03. Compute Cost-7-yOaHVeATk.mp4 3.74 MB
    Part 02-Module 05-Lesson 03_Q-Learning Lab/02. Q-Learning Algorithm-Yzg59NGpcZQ.mp4 3.72 MB
    Part 02-Module 06-Lesson 06_Project Home Service Robot/06. Building Editor-BUCZQpflaUI.mp4 3.72 MB
    Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.72 MB
    Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.72 MB
    Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/05. Probabilistic Roadmap (PRM)-hs9Xkujs-5M.mp4 3.72 MB
    Part 02-Module 03-Lesson 04_Monte Carlo Localization/08. Outro-qBd_gY5CXFM.mp4 3.67 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 3.66 MB
    Part 01-Module 10-Lesson 01_Introduction to Controls/16. Limitations Of PID-N3oWkNfx4LQ.mp4 3.65 MB
    Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.mp4 3.63 MB
    Part 01-Module 02-Lesson 01_Introduction to ROS/11. Run Turtlesim-hCkE973oY9o.mp4 3.6 MB
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    Part 02-Module 05-Lesson 06_Deep RL Manipulator/01. C4 L6 A01-TIAd1UvI-YU.mp4 3.59 MB
    Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/12. Segmentation In Perception-cdf6kF1rBXQ.mp4 3.56 MB
    Part 02-Module 06-Lesson 02_Classic Path Planning/11. Discretization-mKWjmGt4BPs.mp4 3.55 MB
    Part 02-Module 05-Lesson 04_Deep RL/02. From RL to Deep RL-7HLJ0uaR1F0.mp4 3.54 MB
    Part 02-Module 05-Lesson 05_DQN Lab/06. Recap-n_ufEO7puVE.mp4 3.53 MB
    Part 01-Module 02-Lesson 01_Introduction to ROS/15. Turtlesim Comms Message Information-f89-UgEb8Y0.mp4 3.53 MB
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    Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/14. DH Parameter Steps 1-4-77CZQ6huL-8.mp4 3.52 MB
    Part 02-Module 03-Lesson 03_Lab Kalman Filters/10. Main Launch-dh1PlulCxtA.mp4 3.51 MB
    Part 01-Module 02-Lesson 02_Packages & Catkin Workspaces/01. Overview of Catkin Workspaces and Packages-VqYNipeW72o.mp4 3.51 MB
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    Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.49 MB
    Part 02-Module 01-Lesson 05_Robotics Sensor Options/10. Recap-C_CUJXF4KXc.mp4 3.47 MB
    Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.46 MB
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    Part 01-Module 12-Lesson 03_Deep Neural Networks/01. Intro To Deep Neural Networks-SXtXg_BB4lI.mp4 3.46 MB
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    Part 02-Module 03-Lesson 05_Build MCL in C++/03. First Interaction--GxyQuh5LJ8.mp4 3.42 MB
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    Part 02-Module 03-Lesson 03_Lab Kalman Filters/07. Odometry To Trajectory Package-1U-SlO_JT9s.mp4 3.28 MB
    Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/cnn-embed-full-4k-half.jpg 3.26 MB
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    Part 02-Module 05-Lesson 06_Deep RL Manipulator/09. C4 L6 A02-T6sbJAf-Bto.mp4 2.91 MB
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    Part 01-Module 12-Lesson 04_Convolutional Neural Networks/36. CNNs Wrapup-s27rkmzx7LI.mp4 2.65 MB
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    Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.mp4 2.38 MB
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    Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Classsification Example-Dh625piH7Z0.mp4 2.07 MB
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    Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/17. Summary of Calibration, FIltering and Segmentation-4je0BGi_WPs.mp4 2.02 MB
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    Part 02-Module 04-Lesson 03_Grid-based FastSLAM/03. Full SLAM -L7aE6TFt2zw.mp4 1.95 MB
    Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.mp4 1.95 MB
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    Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/13. Robot Grasping Challenge-B9KrDaOhrco.mp4 1.94 MB
    Part 02-Module 04-Lesson 03_Grid-based FastSLAM/07. Particle Filter Approach To SLAM-0DiiZi5t75U.mp4 1.93 MB
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    Part 01-Module 12-Lesson 05_Fully Convolutional Networks/10. Skip Connections-JUYLA5PWzo0.mp4 1.69 MB
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    Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.mp4 1.6 MB
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    Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper1.png 1.18 MB
    Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/convolutionalnetworksquiz.png 1.18 MB
    Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3l3-a06-l-slam-challenges-2.jpg 1.17 MB
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