Robotics Research Landscape
World Models for Robotics
Learned models that predict how the world changes when a robot acts.
A world model is a learned model of how the environment changes in response to actions, used to imagine outcomes before acting.
Real-world trial and error is slow and unsafe. A learned model lets a robot plan or practise in imagination, using far fewer real interactions.
Video-scale world models may become learned simulators and a source of prediction for generalist robots.
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