FLEX Teaches Robots to Generalize From Human Corrections
AI-generated summary Researchers from MIT and New York University have developed FLEX, a system that uses conversational corrections to revise environmental features guiding robot movements. The approach utilizes GPT-4o and separates feature specification from reward optimization to help robots generalize from human feedback.