Author

Menghao Zhang

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#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

Preprint Aug 2026

TRACE: A Self-Evolving Skill Bank for Consistent, Limit-Aware LLM Agents

Results show that TRACE converts high model potential into stable, consistent performance gain, and bridge the gap between potential and reliable performance to just 4.0 points.

Wen-Hao Wu, Meng-Hao Zhang, X. Wang et al. · 2 citations