Author

Bowen Zhou

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Preprint Sep 2026

InternW0-$\Delta$: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data

World Action Models (WAMs) jointly model visual dynamics and action generation for generalist robot manipulation. A central challenge is to integrate priors from large-scale pretrained models---including visual dynamics, scene semantics, geometry, and motion---into a unified framework for robot action generation. We in...

Xing-Yu Miao, Zi-Zun Li, Bao-Le Fang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

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

Physical intelligence requires more than predicting how the world may evolve: predictions must remain actionable as the world continues to change. We introduce InternW0, the first instantiation of the InternW physical world model series from Shanghai AI Laboratory, built around omnimodal interfaces, asynchronous multi-...

Ji-Song Cai, Yao Mu, Gan-Lin Yang 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. · arXiv.org · 10 citations · ⚡1