Leveraging ROS to Support LLM-Based Human-Robot Interaction

Walleed Khan, Deeksha Chandola, Enas AlTarawenah, Baran Parsai, Ishan Mangrota, Michael Jenkin

2025

Abstract

Large Language Model (LLM)-based systems have found wide application in providing an interface between complex systems and human users. It is thus not surprising to see interfaces between autonomous robots also adopting this strategy. Many modern robot systems utilize ROS as a middleware between hardware devices, standard software tools, and the higher level system requirements. Here we describe efforts to leverage LLM and ROS to provide not only this traditional middleware infrastructure but also to provide the audio- and text-based interface that users are beginning to expect from intelligent systems. A proof of concept implementation is described as well as an available set of tools to support the deployment of LLM-based interfaces to ROS-enabled robots and stationary interactive systems.

Download


Paper Citation


in Harvard Style

Khan W., Chandola D., AlTarawenah E., Parsai B., Mangrota I. and Jenkin M. (2025). Leveraging ROS to Support LLM-Based Human-Robot Interaction. In Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-770-2, SciTePress, pages 402-409. DOI: 10.5220/0013831200003982


in Bibtex Style

@conference{icinco25,
author={Walleed Khan and Deeksha Chandola and Enas AlTarawenah and Baran Parsai and Ishan Mangrota and Michael Jenkin},
title={Leveraging ROS to Support LLM-Based Human-Robot Interaction},
booktitle={Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2025},
pages={402-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013831200003982},
isbn={978-989-758-770-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Leveraging ROS to Support LLM-Based Human-Robot Interaction
SN - 978-989-758-770-2
AU - Khan W.
AU - Chandola D.
AU - AlTarawenah E.
AU - Parsai B.
AU - Mangrota I.
AU - Jenkin M.
PY - 2025
SP - 402
EP - 409
DO - 10.5220/0013831200003982
PB - SciTePress