A collective robotic architecture in search and rescue scenarios

Authors:
Micael S. Couceiro;David Portugal;Rui P. Rocha
Affiliations:
University of Coimbra, Coimbra, Portugal;University of Coimbra, Coimbra, Portugal;University of Coimbra, Coimbra, Portugal
Venue:
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Year:
2013

Citing 4
Cited 1

Estimating uncertain spatial relationships in robotics

Autonomous robot vehicles
Coverage for robotics – A survey of recent results

Annals of Mathematics and Artificial Intelligence
Multi-robot learning with particle swarm optimization

AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Multi-robot Simultaneous Localization and Mapping using Particle Filters

International Journal of Robotics Research

Benchmark of swarm robotics distributed techniques in a search task

Robotics and Autonomous Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Multi-robot systems (MRS) may be very useful on assisting humans in many distributed activities, especially for search and rescue (SaR) missions in hazardous scenarios. However, there is a lack of full distributed solutions, addressing the advantages and limitations along different aspects of team operation, like communication requirements or scalability. In this paper, the effects of distributed group configurations are studied and results are drawn from collective exploration and collective inspection tasks in SaR scenarios, with the aim of understanding the main tradeoffs, and distilling design guidelines of collective architectures. With this purpose, extensive simulation experiments of MRS in a SaR scenario were carried out.