This research introduces LLM+MAP, a novel framework that leverages Large Language Models to plan and coordinate complex tasks requiring two robotic hands working together.

• Combines LLMs with formal planning techniques to decompose bimanual tasks into executable actions
• Addresses the unique challenge of spatial and temporal coordination between two robotic hands
• Enables robots to handle long-horizon, complex manufacturing tasks previously difficult to automate
• Demonstrates practical engineering applications for factory automation and manufacturing

This innovation has significant implications for engineering and manufacturing, potentially reducing the complexity of programming robots for assembly tasks while increasing their versatility in factory environments.

LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language