Gangzheng Ai

CLGA: A Collaborative LLM Framework for Dynamic Goal Assignment in Multi-Robot Systems

Goal assignment is a critical challenge in multi-robot systems. The emergence of large language models (LLMs) has enabled the use of natural language commands for tackling goal assignment problems. However, applying LLMs directly to these tasks presents two limitations: 1) limited accuracy and 2) ex