World models that learn from physical sensor data to support memory, planning, and controllable AI.
Find the teams teaching AI to understand and simulate the world. This MTS Atlas list tracks models and systems for richer perception, prediction, generation, and interaction.
World models that learn physics and cause and effect to simulate environments for robots and AI agents.
Digital twin simulation for controlled synthetic data and realistic testing of autonomous systems.
Real-world capture becomes digital replicas and deterministic sensor simulations for testing autonomy.
Training world and action models on gameplay so AI can learn to act in real worlds.
