A Framework for LLM-based Lifelong Learning in Robot Manipulation
While robotic agents have become increasingly adept at low-level manipulation skills, increasingly they are being guided by large language model planners that decompose complex tasks into subgoals. Recent works indicate that these language models may also be effective skill learners. We develop HaLP...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153895 |