Safe Learning in Robotics

Safe Learning in Robotics

Simons Institute via YouTube Direct link

Meta-Planning using FasTrack in AR/VR

17 of 26

17 of 26

Meta-Planning using FasTrack in AR/VR

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Safe Learning in Robotics

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  1. 1 Intro
  2. 2 Air Traffic Control: Separation Assurance
  3. 3 Growing numbers of UAV applications
  4. 4 Operations in unstructured environments: perceptic
  5. 5 Outline
  6. 6 Reachable Set Propagation
  7. 7 Level set interpretation
  8. 8 Numerical computation of reachable sets
  9. 9 Collision Avoidance Pilots instructed to attempt to collide vehicles
  10. 10 Backwards Reachable Set: Capture
  11. 11 Mode sequencing and reach-avoid
  12. 12 Dealing with the curse of dimensionality
  13. 13 Fast and Safe Planning
  14. 14 Precomputed Tracking Bound
  15. 15 10D Tracking 3D using RRT
  16. 16 Fast and Fast(er) Planning
  17. 17 Meta-Planning using FasTrack in AR/VR
  18. 18 Applied to: A Noisily Rational Human Model
  19. 19 Rationality is actually model confidence
  20. 20 Bayesian Model Confidence
  21. 21 Extending to multiple humans and robots
  22. 22 Analyzing introspective predictors
  23. 23 Using ML to compute sets
  24. 24 Safe Policy Gradient Reinforcement Lean
  25. 25 Online Disturbance Model Validation
  26. 26 Leaming, while staying safe

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