MIT engineers have unveiled a groundbreaking method aimed at enhancing household robots’ capabilities to adapt to unforeseen disruptions during tasks. Through a fusion of robot motion data and the vast knowledge of large language models (LLMs), these innovative advancements promise to revolutionize the efficiency and adaptability of domestic robots. Traditionally, household robots have been trained