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Combined Task and Motion Planning for Mobile Manipulation Jason Wolfe, etc. University of California, Berkeley Mozi Song INFOTECH 1
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Layout Problem introduction Domain and Hierarchy SATHN algorithm Results Conclusion 2
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Layout Problem introduction Domain and Hierarchy SATHN algorithm Results Conclusion 3
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Introduction: 1. Pick-and-Place problem 4 Abstract actions Primitive actions Action Hierarchy Action levels
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Introduction: 2. Tasks 5 Sequence operations Decide on details Optimize
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Introduction: 3. Challenges 6 Geometric constraints Real-time limits
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Layout Problem introduction Domain and Hierarchy SATHN algorithm Results Conclusion 7
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Domain and Hierarchy 1. Initial state Robot configuration Object geometry, position, relation with other objects 8
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Domain and Hierarchy 2. Transition model *external planners instead of PDDL— dealing with uncertainty 9
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Domain and Hierarchy 3. Action hierarchy High-level-actions(HLA) Immediate refinements of each HLA 10
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Domain and Hierarchy 3. Action hierarchy 11
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Domain and Hierarchy 3. Action hierarchy Infinite refinements of an HLA: random sampled sequence Hierarchically optimal result 12
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Layout Problem introduction Domain and Hierarchy SATHN algorithm Results Conclusion 13
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SATHN Algorithm 14
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SATHN Algorithm 15 subtask-specific irrelevance
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Layout Problem introduction Domain and Hierarchy SATHN algorithm Results Conclusion 16
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Results Feasibility Efficiency 17
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Layout Problem introduction Domain and Hierarchy SATHN algorithm Results Conclusion 18
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Conclusion Action hierarchy State abstraction A proof-of-concept of task-level planning 19
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Conclusion-Future work Approximate models for the HLAs and primitives Search algorithms managing cost- quality tradeoff 20
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Q & A Problem introduction Domain and Hierarchy SATHN algorithm Results Conclusion 21
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Thank you 22
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