~/talk

Real-Time Decision Making in Hybrid Systems

Talkat Real-Time Decision Making · on Friday, 2016-07-01· [robotics]
links:none on file
slides:none on file

Computes conservative safety envelopes via a backwards reachable set (HJ-Isaacs PDE) and runs real-time 3D solves on a laptop; decomposes a 10-D quadrotor model into two 3-D plus one 1-D subsystems using decoupling disturbances to get exact 10-D results. Demonstrations: four quadrotors switch to automated collision-avoidance when reachable sets touch, platooning routes form organically from reach-avoid ops, and a lab quadrotor uses Gaussian-process updates to shrink/expand a safe envelope while learning and never crashes.

AI-written summary · about

  1. 0:00Intro
  2. 0:47Air traffic in Oakland Center
  3. 3:26Controller must keep aircraft separated
  4. 6:01Growing numbers of UAV applications
  5. 10:32Outline
  6. 11:17Backwards Reachable Set All states for which, for all possible control actions, there is a disturbance action which can drive the system state into a region G(0) in timet
  7. 14:14A discrete game
  8. 17:47Reachable Set Propagation
  9. 19:56Level set interpretation
  10. 21:35Partitions the state space
  11. 21:58Numerical computation of reachable sets
  12. 22:28Collision Avoidance Pilots instructed to attempt to collide vehicles
  13. 24:01Backwards Reachable Set: Capture Backwards Reachable Set
  14. 24:34Mode sequencing and reach-avoid
  15. 25:24Dealing with the curse of dimensionality • Impose practical constraints - Protocol, ditional problem structure
  16. 27:18Platooning UAVs
  17. 30:21Merge and join
  18. 32:26Intruder
  19. 33:15Fast Approximations using Decoupling Disturbances
  20. 34:34Acrobatic Quadrotor in Vertical Plane
  21. 34:48Near-Hover Quadrotor
  22. 37:04Example 3: Forced Landing System
  23. 38:23Data-driven
  24. 42:47Learn models from data...
  25. 43:25Safe Policy Gradient Reinforcement Learning
  26. 45:26Gaussian Processes (GP) (a Gaussian distribution over functions)
  27. 46:10Online Disturbance Model Validation
  28. 48:12Safe Learning
  29. 50:26Summary: Safety, simplicity, with data driven components Safety, from reachability analysis Simplicity, from hybrid system representation scrat. • Ability to learn from new information
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