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Skild AI trains S1 model to play soccer via over 140 years of simulated self-play, then transfers it to humanoid robots

Skild AI demonstrated a self-play training method in which its S1 robot foundation model learned through more than 140 years of simulated soccer matches in Nvidia Isaac Sim, without relying on human demonstrations. In simulation, the policy successively learned to recover from falls, dribble past opponents, shield the ball, and tackle, and was then transferred to physical humanoid robots for soccer-kicking demonstrations. The company says the method has been extended to everyday robotic tasks, and early experiments with four-agent passing plays have been conducted.

Part of the event: Skild AI Uses Self-Play Training to Teach Robots to Play Soccer

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