Cornell researchers have developed a new robotic framework powered by AI, called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution). It allows robots to learn tasks by watching a single how-to video. RHyME could fast-track the development and deployment of robotic systems by significantly reducing the time, energy and money.
RHyME paves the way for robots to learn multiple-step sequences while significantly lowering the amount of robot data needed for training, the researchers said. RHyME requires just 30 minutes of robot data; in a lab setting, robots trained using the system achieved a more than 50% increase in task success compared to previous methods.
More information:
https://news.cornell.edu/stories/2025/04/robot-see-robot-do-system-learns-after-watching-how-tos