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Xiang-Yu Chen

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Review Aug 2026

Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning

Physically grounded robot intelligence requires robots to perceive, reason about, and regulate their interactions with the physical world. This capability is particularly critical in contact-sensitive manipulation, where successful task execution depends not only on visual perception and motion generation, but also on...

Shilin Shan, Chu-Hao Zhou, Rui-Ze Wang et al. · 0 citations
Preprint Aug 2026

DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation

DreamTrajectory is presented, a trajectory-guided framework for language-conditioned mobile manipulation that introduces one component for each limitation of existing Vision-Language-Action policies, and jointly predicts an intention-level end-effector trajectory and a whole-body action chunk in a single action expert.

Zheng Yang, Wen-Jie Zhang, Xiang-Yu Chen et al. · 1 citation

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