
A Robot Learns to Recover by Rewinding Its Mistakes in Simulation
A rewindable robot world lets people correct failures in simulation, then tests whether those lessons transfer to real machines.

A rewindable robot world lets people correct failures in simulation, then tests whether those lessons transfer to real machines.

A robot’s world model learns hidden friction, mass and rules from a few interactions, helping it predict what actions will do.