World Model

World models let humanoid robots plan by simulating. Instead of reacting only to real-time input, they forecast outcomes using internal representations of the environment — supporting long-horizon reasoning and closed-loop control.

Work on robot imagination and long-horizon planning explores how robots can simulate future scenarios and generalize across tasks using structured, multimodal representations, as seen in approaches like DreamerV3 and RoboDreamer.

As these systems mature, world models are becoming the foundation of embodied reasoning and adaptive control.