World models tutorial connects physical AI to predictive simulation

A new arXiv tutorial surveys world models and their role in physical AI.

World models aim to learn predictive representations of an environment so an agent can reason about actions, consequences, and future states. That idea sits behind many approaches to robotics, simulation, and embodied intelligence.

The tutorial is useful because physical AI is becoming a major frontier: models need to understand not only language and pixels, but how actions unfold in the real world.