Under-actuated Robotics | underactuated

underactuated

underactuated

Online course content from Russ Tedrake @ MIT. Includes:. - MIT 6.832 - Underactuated Robotics (Spring). - MIT 6.881 - Robotic Manipulation (Fall)

Course Details

  • Course Lessons24
  • Course Period31h 39m
  • No.Students3
  • LanguageEnglish
  • No Prerequisite
  • (1)
  • Start Now for free

Course Lessons

  1. 1 | 6.8210 Spring 2024 Lecture 1: Robot dynamics and model-based control 01:25:07
  2. 2 | Spring 2023 6.8210 Lecture 2: Nonlinear Dynamics 01:12:49
  3. 3 | Lecture 3 MIT 6.832 (Underactuated Robotics), Spring 2020 Dynamic Programming I 01:20:32
  4. 4 | 6.8210 Spring 2024 Lecture 4: Dynamic Programming II 01:22:08
  5. 5 | 6.8210 Spring 2024 Lecture 5: Acrobots, Cart-poles, and Quadrotors I 01:21:24
  6. 6 | 6.8210 Spring 2024 Lecture 6: Dynamic Programming III 01:19:47
  7. 7 | 6.8210 Spring 2024 Lecture 7: Lyapunov Analysis I 01:20:44
  8. 8 | 6.8210 Spring 2024 Lecture 8: Computing Lyapunov Functions I 01:23:57
  9. 9 | 6.8210 Spring 2024 Lecture 9: Computing Lyapunov Functions II 01:21:08
  10. 10 | 6.8210 Spring 2024 Lecture 10: Trajectory Optimization I 01:18:55
  11. 11 | 6.8210 Spring 2024 Lecture 11: Trajectory Optimization II 01:22:52
  12. 12 | 6.8210 Spring 2024 Lecture 12: Trajectory Stabilization 01:18:07
  13. 13 | Lecture 15: MIT 6.832 Underactuated Robotics (Spring 2022) "Simple Models of Walking" 01:09:54
  14. 14 | 6.8210 Spring 2024 Lecture 14: Hybrid Trajectory Optimization 01:19:56
  15. 15 | 6.8210 Spring 2024 Lecture 15: Planning + Control Through Contact 01:16:39
  16. 16 | 6.8210 Spring 2024 Lecture 16: Humanoid Robots 01:18:46
  17. 17 | 6.8210 Spring 2024 Lecture 17: Mixed-discrete (combinatorial) and continuous optimization 01:21:04
  18. 18 | 6.8210 Spring 2024 Lecture 18: Sampling-based (kinodynamic) motion planning 01:20:47
  19. 19 | 6.8210 Spring 2024 Lecture 19: Stochastic dynamics 01:18:38
  20. 20 | 6.8210 Spring 2024 Lecture 20: Stochastic Control 01:18:37
  21. 21 | 6.8210 Spring 2024 Lecture 21: Robust Control & Policy Search 01:17:06
  22. 22 | 6.8210 Spring 2024 Lecture 22: Output feedback 01:10:41
  23. 23 | 6.8210 Spring 2024 Lecture 23: Feedback motion planning 01:18:06
  24. 24 | 6.8210 Spring 2024 Lecture 24: Imitation learning / Foundation models / Course wrap-up 01:22:02
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    29-07-2024