Bohong Weng — accepted AI-conference papers

2026

Structural Action Transformer for 3D Dexterous Manipulation

Xiaohan Lei, Min Wang, Bohong Weng, Wengang Zhou, Houqiang Li

CVPR 2026

Achieving human-level dexterity in robots via imitation learning from heterogeneous datasets is hindered by the challenge of cross-embodiment skill transfer, particularly for high-DoF robotic hands. Existing methods, often relying on 2D observations and temporal-centric action representation, strugg

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2025

Robust Optical Transceiver Manipulation in Cluttered Cable Environments Using 3D Scene Understanding and Planning

Iason Sarantopoulos, Chenyu Liu, Bohong Weng, Sicheng Xu, Yizhong Zhang, Jiaolong Yang +5

ICRA 2025

Robotic manipulation in cluttered environments presents significant challenges, particularly when the clutter includes thin, deformable objects like cables, which complicate perception and decision-making processes. In the context of datacenters, the automation of networking tasks often involves the

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