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Li-Peng Chen

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Toward Bimanual Dexterous Grasp of Partially Observable Objects With Data Synthesis and Diffusion-Based Generation Approach

Data-driven bimanual dexterous grasping remains challenging due to the lack of large-scale physically valid datasets and the difficulty of generating feasible bimanual grasps from partial observations. We propose an efficient bimanual grasp synthesis pipeline that decouples bimanual grasp generation into single-hand gr...

Hao-Liang Xu, Ze-Xiang Guo, Li-Peng Chen et al. · 0 citations
Preprint Aug 2026

Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking

This work proposes AdaPT, an Adaptive Motion Planning and Tracking framework that learns professional tennis serving and rally styles directly from broadcast videos, and improves tracking robustness by learning to track randomized execution speeds, while conditioning the planner on a learned motion-speed adapter to mit...

Tao Huang, Ruofei Liu, Xuchen Tang et al. · 0 citations

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