Building a Language Conditioned System for 6-DoF Tabletop Manipulation
We present a full-stack modular system for solving tabletop manipulation tasks from natural language task descriptions. The tasks that the system can perform include everyday pick-place tasks, such as sorting, or rearrangement, and the ability to learn new skills. The system primarily consists of th...
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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/1721.1/152838 |