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Shilong Zou

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Preprint Oct 2026

LAW: Unifying Language, Action, and World Modeling for Agentic Physical Intelligence

World-action models jointly predict actions and future world states, but long-horizon manipulation further requires language reasoning to plan subtask objectives, assess execution progress, and guide action selection. We present LAW, a closed-loop VLM--WAM framework that unifies language reasoning, action generation, a...

Jia-Jun Cao, Kai Tang, Bo-Hua Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Pelican-Sim 1.0: A General World Model Simulator for Embodied Intelligence

In this technical report, we propose Pelican-Sim 1.0, a general world model simulator for embodied intelligence that predicts future observations from visual context and robot actions to support downstream learning and decision making. The model incorporates four key design features: (1) Unified action representation:...

Shilong Zou, Shi-Lin Zhang, Yingji Zhang et al. · 1 citation

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