THE RECIPIENT WILL DEVELOP TECHNIQUES FOR AUTONOMOUS DISASSEMBLY FOR ELECTRICAL VEHICLE LITHIUM-ION BATTERIES (EV-LIB SYSTEMS). LEVERAGING MORE THAN EIGHT YEARS OF RESEARCH IN ROBOTIC ASSEMBLY AND TWO INDUSTRIAL PARTNERS WHO ARE PIONEERING OPPOSITE ENDS OF THE CIRCULAR EV-LIB ECONOMY, THE RECIPIENT WILL COMBINE INDUSTRIAL-GRADE HARDWARE AND SYMBOLIC PLANNING WITH THE EMERGING CLASS OF OPEN-WORLD VISION LANGUAGE MODELS (OWL) TO PERFORM DISASSEMBLY OF COMMERCIAL EV-LIB SYSTEMS. THE SYSTEM WILL IDENTIFY THE NECESSARY TASKS AND THEN USE A SYMBOLIC PLANNER TO EXECUTE DISASSEMBLY WHILE RELYING ON OWL MODELS TO GROUND SYMBOLS CORRESPONDING TO THE INDIVIDUAL PARTS. HERE, LARGE LANGUAGE MODELS (LLM) WILL BE USED TO HELP A HUMAN OPERATOR TO QUICKLY TRAIN THE ROBOTIC SYSTEM ON PREVIOUSLY UNSEEN BATTERY TYPES. TO DEAL WITH UNCERTAINTY IN PERCEPTION AND ACTUATION, WE ARE CONTINUOUSLY RESOLVING THE SYMBOLIC PLAN, USE A PROBABILISTIC FRAMEWORK TO RANK-ORDER ACTIONS THAT THE ROBOT WILL TAKE, AND USE LLM COMMON SENSE KNOWLEDGE TO REDUCE UNCERTAINTY. THE RECIPIENT WILL USE A HUMANOID ROBOT IN CONCERT WITH COLLABORATIVE ROBOT ARMS TO HANDLE WIRE HARNESSES, REMOVE SCREWS AND PARTS, BEFORE DISMANTLING THE EV-LIB WITH A HEAVY-DUTY INDUSTRIAL ARM. THE RECIPIENT WILL DEMONSTRATE THE PROPOSED SOLUTION ON SERVICEABLE BATTERY PACKS SUCH AS THE HYUNDAI IONIQ, CHEVY BOLT, AND TOYOTA RAV-4, TOGETHER WITH OUR PARTNER UNIVERSE ENERGY, WHEREAS THE HUMANOID SOLUTION WILL ALSO BE DEMONSTRATED AT OUR LOCAL PARTNER MILE HYBRID AUTOMOTIVE.