A survey of world models for physical AI with uncertainty representation and control
A comprehensive and technically grounded review of learning-based world models for Physical AI, with particular emphasis on closed-loop decision-making, and outlines principled directions for building reliable and scalable Physical AI systems.
Sven Kirchner, Nils Purschke, Alois Knoll
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