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

2025/07/03 by Abioye, Ayodeji O., Deshmukh, Jayati, Georgara, Athina +6
#FOS: Computer and information sciences #Robotics (cs.RO)

paper · doi:10.48550/arxiv.2507.02521

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.

Citations

• Mapping Safe Zones for Co-located Human-UAV Interaction
• The performance and cognitive workload analysis of a multimodal speech and visual gesture (mSVG) UAV control interface
• Core Challenges of Social Robot Navigation: A Survey
• NavRep: Unsupervised Representations for Reinforcement Learning of Robot\n Navigation in Dynamic Human Environments
• Robot Navigation in Constrained Pedestrian Environments using\n Reinforcement Learning
• Visual Navigation Among Humans with Optimal Control as a Supervisor

Related

• Human-Robot Teams in Entertainment and Other Everyday Scenarios
• Viewing Robot Navigation in Human Environment as a Cooperative Activity
• Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning
• Socially-Aware Navigation: A Non-linear Multi-Objective Optimization\n Approach
• Socially Consistent Multi-Robot Navigation Using Decoupled Planning and Trajectory Coordination