Tell a friend
Print
Samarathunga, Kaveesha and Gurusinghe, Ranuri and Sivasothynathan, Kugesan and Rajakaruna Wanigasekara, Chathura and Mars, Jason and LOGEESHAN, V. (2025) LLM-Guided Multi-Agent System for Natural Language-Based Robot Navigation. In: 6th IEEE Annual World AI IoT Congress, AIIoT 2025. IEEE. 2025 IEEE World AI IoT Congress (AIIoT), 2025-05-28 - 2025-05-30, Seattle, WA, USA. doi: 10.1109/AIIoT65859.2025.11105295. ISBN 9798331525088.
![[img]](https://elib.dlr.de/style/images/fileicons/application_pdf.png) |
PDF
- Only accessible within DLR
3MB |
Official URL: https://ieeexplore.ieee.org/document/11105295
Abstract
Natural language-driven robot navigation has the potential to make human-robot interactions more intuitive. This paper presents an innovative approach that integrates a Large Language Model (LLM) with a Multi-Agent System (MAS) to enable autonomous robot navigation in response to verbal commands. We use GPT-4o for interpreting user commands, LangChain and LangGraph for MAS-based decision-making, and Rapidly-Exploring Random Tree (RRT) for path planning. The system is simulated in Webots, demonstrating its adaptability in various environments. Our results show that the integration of LLM and MAS enhances decision-making efficiency and enables flexible, real-time path adjustments.
| Item URL in elib: | https://elib.dlr.de/215543/ | ||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Conference or Workshop Item (Lecture) | ||||||||||||||||||||||||||||
| Title: | LLM-Guided Multi-Agent System for Natural Language-Based Robot Navigation | ||||||||||||||||||||||||||||
| Authors: |
| ||||||||||||||||||||||||||||
| Date: | September 2025 | ||||||||||||||||||||||||||||
| Journal or Publication Title: | 6th IEEE Annual World AI IoT Congress, AIIoT 2025 | ||||||||||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||||||||||
| DOI: | 10.1109/AIIoT65859.2025.11105295 | ||||||||||||||||||||||||||||
| Publisher: | IEEE | ||||||||||||||||||||||||||||
| ISBN: | 9798331525088 | ||||||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||||||
| Keywords: | Multi Agentic System (MAS), Large Language Models (LLM) | ||||||||||||||||||||||||||||
| Event Title: | 2025 IEEE World AI IoT Congress (AIIoT) | ||||||||||||||||||||||||||||
| Event Location: | Seattle, WA, USA | ||||||||||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||||||||||
| Event Start Date: | 28 May 2025 | ||||||||||||||||||||||||||||
| Event End Date: | 30 May 2025 | ||||||||||||||||||||||||||||
| HGF - Research field: | other | ||||||||||||||||||||||||||||
| HGF - Program: | other | ||||||||||||||||||||||||||||
| HGF - Program Themes: | other | ||||||||||||||||||||||||||||
| DLR - Research area: | no assignment | ||||||||||||||||||||||||||||
| DLR - Program: | no assignment | ||||||||||||||||||||||||||||
| DLR - Research theme (Project): | no assignment | ||||||||||||||||||||||||||||
| Location: | Geesthacht | ||||||||||||||||||||||||||||
| Institutes and Institutions: | Institute of Maritime Energy Systems > Energy Converters and Systems | ||||||||||||||||||||||||||||
| Deposited By: | Rajakaruna Wanigasekara, Chathura | ||||||||||||||||||||||||||||
| Deposited On: | 29 Sep 2025 07:46 | ||||||||||||||||||||||||||||
| Last Modified: | 06 May 2026 08:39 |
Repository Staff Only: item control page
