Diverse Data and Efficient Algorithms for Robot Learning

Diverse Data and Efficient Algorithms for Robot Learning

MIT Embodied Intelligence via YouTube Direct link

Intro

1 of 25

1 of 25

Intro

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Diverse Data and Efficient Algorithms for Robot Learning

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  1. 1 Intro
  2. 2 Progress in Robotics
  3. 3 Success stories in Al
  4. 4 Key ingredients of learning
  5. 5 Learning for robotics
  6. 6 How to grasp objects?
  7. 7 Self-supervised grasping
  8. 8 Robot learning in the wild?
  9. 9 Robot learning in homes
  10. 10 Large scale robot learning
  11. 11 Rich history
  12. 12 Under the hood
  13. 13 Deformable Object Manipulation
  14. 14 Approach
  15. 15 Key Challenges
  16. 16 Solutions
  17. 17 Conditional Policy Learning with MVP
  18. 18 Real Robot Experiments
  19. 19 Why forward models?
  20. 20 Learning visual forward models
  21. 21 Learning predictive representations
  22. 22 Contrastive representations
  23. 23 Contrastive forward models
  24. 24 One step MPC
  25. 25 Quantitative evaluation

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