key: IROS24
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Diff-Control: A Stateful Diffusion-based Policy for Imitation Learning
Abstract: While imitation learning provides a simple and effective framework for policy learning, acquiring consistent action during robot execution remains a challenging task. Existing approaches primarily focus on either modifying the action representation at data curation stage or altering the model itself, both of which do not fully address the scalability of consistent action generation.…