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Author

Haoqi Yuan

3 papers indexed here

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Preprint Sep 2026

MoDex: Towards Universal Multi-Object Dexterous Grasping

Multi-object grasping is a fundamental yet challenging problem, constrained by data collection costs, varying spatial layouts, and the need for broad generalization. To address these challenges, we propose MoDex, a data-efficient framework that provides the first unified solution for universal multi-object dexterous gr...

Jing Xiong, Jia-Le Xie, Hao-Qi Yuan et al. · 0 citations
Preprint Aug 2026

Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data

Experiments show that joint pretraining on Ego2Robot-synthesized and robot data consistently improves out-of-distribution generalization across multiple perturbation types, with benefits validated on real-robot deployment.

Ye Wang, Peibin Lin, Xiong-Hui Chen et al. · 13 citations · ⚡1

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