DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments Via Large Language Models

We propose DEXTER-LLM, a novel framework for dynamic task planning in unknown environments. Our approach integrates LLM-based multi-stage reasoning, optimization-based task assignment, and adaptive human-in-the-loop verification to tackle the challenges of online adaptability and explainability.

Oct 22, 2025 1:20 PM — 1:25 PM