Integrated Task and Motion Planning in Belief Space

Integrated Task and Motion Planning in Belief Space

Paul G. Allen School via YouTube Direct link

Action selection is the driving problem

3 of 21

3 of 21

Action selection is the driving problem

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Integrated Task and Motion Planning in Belief Space

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  1. 1 Intro
  2. 2 Real robot meets real world
  3. 3 Action selection is the driving problem
  4. 4 POMDP: Optimal solution is complex...
  5. 5 Steps toward a principled approximation
  6. 6 Complex conditional effects — Implicit predicates
  7. 7 Geometric - Extended "delete" heuristic
  8. 8 Postponing preconditions creates hierarchy
  9. 9 Hierarchical plan
  10. 10 Hierarchical — Goal Regression
  11. 11 Heuristic for regression planning
  12. 12 Outcome uncertainty — Replanning
  13. 13 Update belief based on perceptual information
  14. 14 Belief update and inference strategy
  15. 15 Uncertainty about geometry
  16. 16 Motion planning with uncertainty
  17. 17 Logical representations of uncertain geometry!
  18. 18 Finding the soda (blue box)
  19. 19 Trying to move the soup can out of the way
  20. 20 Picking up the soda box
  21. 21 Meta-cognitive learning: improving planning

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