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How can we effectively leverage human videos for robot learning by bridging the inherent embodiment gap?
We introduce UniSkill, a universal skill representation, a scalable method for learning cross-embodiment skill representations from large-scale in-the-wild video data.
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We introduce UniSkill, a universal skill representation, a scalable method for learning cross-embodiment skill representations from large-scale in-the-wild video data.
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