Inference and Task Planning over Spatially Complex Problems
One core problem of robot viability in many sectors is retrainability; if a robot’s task can change without changing code, automation becomes feasible for a wider set of applications. To advance robot retrainability, this thesis will introduce a learning from demonstrations (LfD) framework allowing...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/147491 |