Robots use Cornell's RHyME AI to learn new skills by watching just one video

Cornell University researchers developed RHyME, an AI framework enabling robots to learn new skills from a single demonstration video. This allows robots to adapt to unexpected situations using a memory bank of observed actions. RHyME needs only 30 minutes of robot-specific training data, versus thousands of hours with traditional methods. In tests, robots using RHyME completed tasks over 50% more successfully than those trained with older techniques, potentially expanding robot use in unpredictable environments.