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Cornell’s RHyME Framework Lets Robots Learn Tasks from a Single How-To Video
Cornell researchers have developed RHyME (Retrieval for Hybrid Imitation under Mismatched Execution), a breakthrough robotic learning system that enables robots to learn new tasks by watching a single how-to video — and then adapt when things don’t go exactly as planned.