Imitation Learning for Sequential Manipulation Tasks: Leveraging Language and Perception
As robots are increasingly being utilized to perform automated tasks, effective methods for transferring task specifications to robots have become imperative. However, existing techniques for training robots to perform tasks often depend on rote mimicry of human demonstrations and do not generalize...
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Format: | Thesis |
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Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/139416 |