Author

Tao Lu

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#artificial intelligence Review Oct 2026

Physical AI: Concepts, Techniques, and Challenges

This monograph seeks to define physical AI, present its technical landscape, and examine each key technical subfield in depth, and establishes a unified framework for Physical AI: artificial systems that perceive, model, and act upon the physical world through continuous feedback under real-world constraints.

Wei-Nan Zhang, Chun-Hua Shen, Tian-Fan Xue et al. · 0 citations

Preprint Jul 2026

CoRe: Combined Rewards with Vision-Language Model Feedback for Preference-Aligned Reinforcement Learning

CoRe is a hybrid framework that integrates FR and RR with vision-language models (VLMs) feedback to achieve preference-aligned policies without human involvement, and outperforms existing approaches in terms of policy learning effectiveness and efficiency.

H. Ni, Tao Lu, Yinghao Cai · 0 citations