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Author

Seungyeon Yoo

2 papers indexed here

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Open access 2026

GAR-Tracker: Target-Visible Trajectory Planning for a Ground Assistant Robot

This paper proposes a Bernstein polynomial motion primitive (BPMP)-based sample–check–select approach for differential-drive robots that handle both unstructured and dynamic obstacle scenarios effectively and explicitly accounts for the effect of the trajectory on the heading direction and its impact on tracking perfor...

Seung-Woo Jung, Sang-Jin Han, Seungyeon Yoo 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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