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Feng Yuan

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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
Jul 2026

InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization

InternVLA-A1.5 is presented, which builds the policy on a native VLM backbone that keeps training on VQA and subtask prediction, and attaches a lightweight unified expert for continuous action generation, and achieves the best overall results on all six simulation benchmarks.

Haoxiang Ma, Junhao Cai, Xiaoxu Xu et al. · 10 citations · ⚡1

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