MIT and NYU Unveil FLEX System to Teach Robots Contextual Reasoning

Engineers from MIT and New York University introduced FLEX, an AI learning framework designed to help robots interpret implicit meaning from human instructions. By integrating large language models with motion-planning algorithms, robots can deduce why they should adjust their physical actions rather than obeying commands strictly literally. The researchers will present the framework at the upcoming Conference on Robot Learning.