Alois Knoll

A survey of world models for physical AI with uncertainty representation and control

Abstract Physical AI systems must reason about real-world dynamics in order to perceive, predict, and act safely under partial observability and uncertainty. World models–learned predictive representations of environment dynamics and action consequences–have emerged as a unifying...