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The aim is to provide a comprehensive review of the evolving landscape of world models and action models in artificial intelligence.

May 14, 2026Open Access

World Models and World Action Models (WAM): From Foundation Simulators to Embodied Action

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The aim is to provide a comprehensive review of the evolving landscape of world models and action models in artificial intelligence.
Systematic survey of over 200 key papers in the field
Organized into six major pillars including world models, vision-language-action models, and autonomous driving
Identification of open challenges and future directions to advance embodied intelligence
A structured taxonomy of the current state of world models and action models is presented
Identification of six pillars that encompass key aspects of the field
Highlighted challenges include safety verification and the sim-to-real evaluation gap

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Survey reviews predictive simulations and action-grounded models in embodied artificial intelligence, indicating a unified taxonomy.

Xin Jin (2026) studied this question.

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