الباحثون

Chuyang Xiao

المنشورات 2

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H2RBench: A Real-to-Sim Benchmark for Evaluating Human-to-Robot Transfer

Chuyang Xiao, Haotian Zhan, Sriram Krishna وآخرون · 2026

Learning robot manipulation policies from human video demonstrations constitutes a promising avenue for scalable robot learning. However, comparing different human-to-robot (H2R) transfer methods remains challenging, as existing approaches are evaluated under different settings, including differing task suites, scene l …

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JAMB: Joint Action-Motion Diffusion for Bimanual Manipulation

Coordinated bimanual manipulation is challenging because the motion of either arm can alter the shared 3D scene and thereby affect the other arm. Yet most diffusion policies generate actions without explicitly modeling these future geometric consequences, while predictive variants typically use future state only as aux …

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