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Ruo-Qu Chen

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#artificial intelligence Preprint Sep 2026

Weave: Learning Whole-Body Dexterous Loco-Manipulation from Human-Object Interactions

Learning humanoid-object interaction requires coordinating whole-body balance, locomotion, and dexterous hand contact to control both robot and object motion. Human demonstrations provide examples of coordinated interaction, but transferring these behaviors to humanoid robots requires learning how to establish and main...

Liu Cao, Xing-Ze Wu, Jing-Zhi Cui et al. · 0 citations
Preprint Sep 2026

R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models

Evaluating robot manipulation policies is becoming increasingly important as generalist models, particularly vision-language-action (VLA) models, are deployed on physical robots. However, conventional real-world evaluation remains labor-intensive, unstable, and insufficiently informative. It requires repeated hardware...

Yi-Di Wang, Fei-Xiang Ruan, Ruo-Qu Chen et al. · 1 citation

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