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cs.RO2026
Humanoid Badminton: Learning Dynamic Racket Skills from Limited Human Motion Data
Jingzhi Cui, Zhexiong Wang, Bangjie Xu +9
High-speed racket sports provide a demanding testbed for humanoid robots, requiring time-critical decisions, precise striking, and dynamic whole-body coordination. In badminton, fa…
cs.AI2026
Action QFormer: Structured Representation Shaping under Action Supervision in Vision-Language-Action Models
Yufeng Ji, Wenhao Tang, Haoyi Niu +3
Action supervision in vision-language-action (VLA) models is often treated as a downstream objective for learning action prediction. In this paper, we study it instead as a force t…