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
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
This work presents REAL, an agentic framework for open-world mobile manipulation, which establishes sim-to-real-consistent environment APIs without oracle perception and integrates a simulated user to enable human-in-the-loop interaction.
Boyu Mi, Mengchen Ma, Yifei Yao et al.· arXiv.org· 2 citations
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