Adaptive Symbiotic Information-Sharing (ASIS)

This repository contains the code, experimental setup, and documentation for my master’s thesis:

"Adaptive Symbiotic Information-Sharing Framework Using Large Language Models for Heterogeneous Multi-Robot Collaboration"

Project Overview

This thesis explores how large language models (LLMs) can support long-term, symbiotic collaboration in heterogeneous multi-robot systems by selectively sharing high-level information while minimizing low-level communication.

Research Objectives

• Design an LLM-based symbiotic information-sharing framework (ASIS)
• Compare ASIS with independent LLM-based robot controllers
• Evaluate coordination efficiency and cooperative behavior in a simulated warehouse environment

Environment

• Simulator: TA-RWARE
• Agents: Heterogeneous robots (AGVs and pickers)
• Control level: High-level decision-making via LLMs