Author

Jin Wu

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Preprint Sep 2026

DEXTERA: From a Single Image to Deployable Dexterous Manipulation via Real-to-Sim-to-Real

Collecting real-world robot data for dexterous manipulation is costly and time-consuming. While high-fidelity physics simulators enable scalable data synthesis and policy learning, constructing deployment-ready digital twins manually remains labor-intensive, and residual visual, geometric, and dynamics gaps hinder reli...

Jin Wu, Lian-Jie Yuan, Ze-Yang Sun et al. · 0 citations

#artificial intelligence Preprint Sep 2026

HarnessPAI: An Evolving Harness for Physical AI

The results suggest that the frontier of Physical AI depends not only on stronger action models, but also on executable harnesses that integrate perception, task understanding and reasoning, and action execution into a unified, verifiable, and feedback-driven system.

X. Wang, Wen-Hao Wu, Meng-Hao Zhang et al. · 1 citation