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[Paper Published] Nankai University publishes 'World Models for Embodied AI' survey: 120+ models reviewed

This survey paper formalizes the problem setting and learning objectives of world models for embodied AI, which enable agents to perceive, act, and anticipate. It proposes a three-axis taxonomy based on functionality, temporal modeling, and spatial representation.

robotics model-based-rl simulation embodied-ai

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  • A comprehensive survey from Stanford HAI reviews over 120 world models for embodied intelligence, categorizing approaches by architecture, modality, and application domain. The paper introduces a new taxonomy for evaluating world model capabilities.
  • Stanford publishes 'World Models for Embodied Intelligence' survey: 120+ models reviewed is tracked as a paper_published in the world-models.io timeline. The entry preserves its normalized title, publication context, source attribution, and links in the initial HTML response.
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AttributeValue
EventStanford publishes 'World Models for Embodied Intelligence' survey: 120+ models reviewed
SourcearXiv
Typepaper_published
Published2026-03-08T11:00:00Z
Related Models0

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