Embodied AI: From LLMs to World Models
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The curator’s take
This paper surveys embodied AI through the lens of LLMs and World Models (WMs). It highlights how LLMs enable semantic reasoning and task decomposition, while WMs provide predictive, physics-grounded interaction, and argues for a joint MLLM-WM architecture to advance real-world embodied cognition and applications.
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