MIT and New York University researchers have developed FLEX, a system that uses conversational corrections to revise the environmental features guiding a robot’s movements. MIT announced the work on November 9, 2026, ahead of its presentation at the Conference on Robot Learning in November 2026. FLEX addresses a failure mode in language-guided robotics: telling a coffee-carrying robot not to spill on a laptop can add that object to its obstacle list without capturing why it matters. The system…