Safe and Socially Aware Multi-Robot Coordination in Multi-Human Social Care Settings

TL;DR

This paper presents a multi-objective learning-based approach for multi-robot coordination in multi-human environments, addressing path planning, navigation, task scheduling, and human-robot interaction to improve social care settings.

Contribution

It introduces a novel multi-objective learning framework specifically designed for multi-human multi-robot coordination in social care environments.

Findings

Effective multi-robot coordination in multi-human settings demonstrated

Improved human-robot interaction metrics achieved

Enhanced task efficiency in social care scenarios

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.