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EgoWild2Dex: Learning Dexterous Robotic Manipulation from In-the-Wild Human Experience
Egocentric human data provide a principled source of supervision for learning dexterous robot manipulation. Unlike prior approaches that often collect such data in constrained or specially constructed environments, we collect in-the-wild egocentric demonstrations in real-world settings, including ho
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