Few-shot Imitation Learning by Variable-Length Trajectory Retrieval from a Large and Diverse Dataset
Abstract: Imitation learning offers an effective framework for enabling robots to acquire complex skills, but typically requires a large number of labeled demonstrations, making data collection costly ...
Abstract: The scale and diversity of demonstration data required for imitation learning is a significant challenge. We present EgoMimic, a full-stack framework which scales manipulation via human ...
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