Safe and Socially Aware Multi-Robot Coordination in Multi-Human Social Care Settings
Robotics
2025-07-04 v1
Abstract
This research investigates strategies for multi-robot coordination in multi-human environments. It proposes a multi-objective learning-based coordination approach to addressing the problem of path planning, navigation, task scheduling, task allocation, and human-robot interaction in multi-human multi-robot (MHMR) settings.
Cite
@article{arxiv.2507.02521,
title = {Safe and Socially Aware Multi-Robot Coordination in Multi-Human Social Care Settings},
author = {Ayodeji O. Abioye and Jayati Deshmukh and Athina Georgara and Dominic Price and Tuyen Nguyen and Aleksandra Landowska and Amel Bennaceur and Joel E. Fischer and Sarvapali D. Ramchurn},
journal= {arXiv preprint arXiv:2507.02521},
year = {2025}
}
Comments
3 pages, 1 figure. Accepted for poster presentation at the UK AI Research Symposium (UKAIR) 2025, themed "A Festival of Ideas", being held in Newcastle from 8th - 9th September, 2025. https://www.ukairs.ac.uk/