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Paper · arXiv

CUBic: Coordinated Unified Bimanual Perception and Control Framework

Recent advances in visuomotor policy learning have enabled robots to perform control directly from visual inputs. Yet, extending such end-to-end learning from single-arm to bimanual manipulation remains challenging due to the need for both independent perception and coordinated interaction between arms. Existing methods typically favor one side -- either decoupling the two arms to avoid interference or enforcing strong cross-arm coupling for coordination -- thus lacking a unified treatment. We propose CUBic, a Coordinated and Unified framework for Bimanual perception and control that reformulates bimanual coordination as a unified perceptual modeling problem. CUBic learns a shared tokeniz...

AuthorsXingyu Wang, Pengxiang Ding, Jingkai Xu et al.
Primary categorycs.RO
Published13 May 2026
Last updated at source13 May 2026
cs.ROcs.AI
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