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Author

Jusuk Lee

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Preprint Oct 2026

Dex-One2Many: Learning Dexterous Manipulation from a Single Human Demonstration

While learning dexterous manipulation from a single human video offers a promising alternative to costly robot demonstrations, many recent methods predominantly imitate demonstrated motions. Such strict motion matching often limits generalization to initial object poses, goal poses, and grasps not shown in the video. A...

Jusuk Lee, Sunghae Kim, Yeonsoo Park et al. · 0 citations
Open access Aug 2026

BooST: Bridging Semantics and Motions for Efficient Skill Transfer

BooST is introduced, a two-stage framework that explicitly bridges semantics and motions to satisfy all three desiderata of skill transfer, and achieves superior few-shot adaptation, cross-domain skill transfer, and robustness to dynamic visual distractors, while maintaining a lightweight yet expressive design suitable...

Jusuk Lee, Daesol Cho, Jonghu Shin et al. · 0 citations

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