Jingkai Xu — accepted AI-conference papers

2026

CUBic: Coordinated Unified Bimanual Perception and Control Framework

Xingyu Wang, Pengxiang Ding, Jingkai Xu, Donglin Wang, Zhaoxin Fan

CVPR 2026

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 a

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2026

LeHome: A Simulation Environment for Deformable Object Manipulation in Household Scenarios

Zeyi Li, Yushi Yang, Shawn Xie, Jingkai Xu, Tianxing Chen, Yuran Wang +12

ICRA 2026poster

Household environments present one of the most common, impactful yet challenging application domains for robotics. Within household scenarios, manipulating deformable objects is particularly difficult, both in simulation and real-world execution, due to varied categories and shapes, complex dynamics…

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