LLMs help robots understand vague instructions and focus on key details

MIT researchers have developed "Masked IRL," a system that helps robots better understand vague instructions by using two large language models. One LLM clarifies ambiguous prompts, while another identifies which environmental details matter and which to ignore. Tested on real robotic arms, the system understood user preferences 15% more often than comparable methods and required nearly five times less training data.