PhysMani: Physics-principled 3D World Model for Dynamic Object ManipulationPhysMani框架发布，物理约束3D模型赋能机器人动态物体操纵
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Researchers introduce PhysMani, a framework coupling physics-principled 3D Gaussian world model with future-aware action policy for robot manipulation of fast-moving objects in unstructured environments (ECCV 2026).
PhysMani-Bench contains 16 dynamic manipulation tasks; the framework surpasses strong baselines in both simulation and real-world robot experiments using divergence-free Gaussian velocity field for physics-grounded dynamics prediction.
Existing visual-language-action models struggle with accurate 3D geometry and physically meaningful forecasting; PhysMani addresses this through learnable token-based cross-attention modules that integrate predicted 3D scene dynamics into policy decisions.