AI RESEARCH
OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling
arXiv CS.AI
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ArXi:2604.09580v1 Announce Type: new Standard Chain-of-Thought (CoT) prompting empowers Large Language Models (LLMs) with reasoning capabilities, yet its reliance on linear natural language is inherently insufficient for effective world modeling in embodied tasks. While text offers flexibility, it fails to explicitly represent the state-space, object hierarchies, and causal dependencies required for robust robotic planning.