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Zhe Cao

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#artificial intelligence Preprint Sep 2026

InternW0: A Foundational Physical World Model for Efficient Real-World Interactions

This work introduces InternW0, the first instantiation of the InternW physical world model series from Shanghai AI Laboratory, built around omnimodal interfaces, asynchronous multi-frequency processing, and local physical modeling under partial observations and external influences.

Ji-Song Cai, Yao Mu, Gan-Lin Yang et al. · 0 citations
Preprint Aug 2026

RoboStriker: Latent-Space Strategic Games for Autonomous Humanoid Boxing

By constraining strategic exploration through a pretrained motion decoder, RoboStriker substantially reduces the catastrophic balance failures observed in raw action-space methods and achieves superior tactical performance in both competitive win rates and striking efficiency.

Kang-Ning Yin, Kaige Liu, Zhe Cao et al. · 0 citations

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