A Scalable Robot-Agnostic Voice Control Framework for Multi-Robot Systems

Valentina Pericu, Federico Rollo, Navvab Kashiri

2025

Abstract

In recent years, Multi-Robot Systems (MRS) have gained increasing relevance in domains such as industrial automation, healthcare, and disaster response, offering effective solutions to manage complex and dynamic tasks. However, controlling such systems remains a challenge, particularly for users without expertise in robotics. A critical factor in addressing this challenge is developing intuitive and accessible Human-Robot Interaction (HRI) mechanisms that enable seamless communication between humans and robots. This paper introduces a scalable, robot-agnostic voice control framework designed to simplify interaction with MRS. The framework enables users to issue voice commands that are processed into actionable, robot-specific instructions through a centralized architecture. At its core, the framework features a centralized Control Management System (CMS) that is responsible for processing voice commands and interpreting them into robot-agnostic actions. System scalability is achieved through namespace management and a flexible structure, allowing new robots to be integrated and larger teams to be accommodated with minimal effort. By minimizing hardware requirements and leveraging voice commands as the primary interaction modality, the framework reduces technical barriers and provides an accessible, cost-effective solution for non-expert users. Experimental validation demonstrates its flexibility, scalability, and effectiveness in multi-robot scenarios. This work contributes to advancing HRI by offering a robust, intuitive, and adaptable solution for managing heterogeneous robot teams across dynamic environments.

Paper Citation

in Harvard Style

Pericu V., Rollo F. and Kashiri N. (2025). A Scalable Robot-Agnostic Voice Control Framework for Multi-Robot Systems. 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 194-201. DOI: 10.5220/0013672500003982

in Bibtex Style

@conference{icinco25,
author={Valentina Pericu and Federico Rollo and Navvab Kashiri},
title={A Scalable Robot-Agnostic Voice Control Framework for Multi-Robot Systems},
booktitle={Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2025},
pages={194-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013672500003982},
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 - A Scalable Robot-Agnostic Voice Control Framework for Multi-Robot Systems
SN - 978-989-758-770-2
AU - Pericu V.
AU - Rollo F.
AU - Kashiri N.
PY - 2025
SP - 194
EP - 201
DO - 10.5220/0013672500003982
PB - SciTePress