Zhizhao Liang — accepted AI-conference papers

2026

CycleManip: Enabling Cycle-based Manipulation via Effective History Perception and Understanding

Yi-Lin Wei, Haoran Liao, Yuhao Lin, Pengyue Wang, Zhizhao Liang, Guiliang Liu +1

CVPR 2026

In this paper, we explore an important yet underexplored task in robot manipulation: cycle-based manipulation, where robots need to perform cyclic or repetitive actions with an expected terminal time. These tasks are crucial in daily life, such as shaking a bottle or knocking a nail. However, few pr

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2026

OmniDexGrasp: Generalizable Dexterous Grasping Via Foundation Model and Force Feedback

Yi-Lin Wei, Zhexi Luo, Yuhao Lin, Mu Lin, Zhizhao Liang, Shuoyu Chen +1

ICRA 2026poster

Enabling robots to dexterously grasp and manipulate objects based on human commands is a promising direction in robotics. However, existing approaches are challenging to generalize across diverse objects or tasks due to the limited scale of semantic dexterous grasp datasets. Foundation models offer …

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