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An artificial immune system for self-healing in swarm robotic systems

Bjerknes, Jan D.; Winfield, Alan; Bjerknes, Jan Dyre; Ismail, Amelia R.; Winfield, Alan F.T.; Timmis, Jon

Authors

Jan D. Bjerknes

Alan Winfield

Jan Dyre Bjerknes

Amelia R. Ismail

Jon Timmis



Contributors

Michael Lones
Editor

Andy Tyrrell
Editor

Stephen Smith
Editor

Gary Fogel
Editor

Abstract

© Springer International Publishing Switzerland 2015. Swarm robotics is concerned with the decentralised coordination of multiple robots having only limited communication and interaction abilities. Although fault tolerance and robustness to individual robot failures have often been used to justify the use of swarm robotic systems, recent studies have shown that swarm robotic systems are susceptible to certain types of failure. In this paper we propose an approach to self-healing swarm robotic systems and take inspiration from the process of granuloma formation, a process of containment and repair found in the immune system. We use a case study of a swarm performing team work where previous works have demonstrated that partially failed robots have the most detrimental effect on overall swarm behaviour. In response this, we have developed an immune inspired approach that permits the recovery from certain failure modes during operation of the swarm, overcoming issues that effect swarm behaviour associated with partially failed robots.

Journal Article Type Conference Paper
Publication Date Jan 1, 2015
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN 0302-9743
Electronic ISSN 1611-3349
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 9303
Pages 61-74
Series Title Lecture Notes in Computer Science
Book Title Information Processing in Cells and Tissues
ISBN 9783319231075
APA6 Citation Winfield, A., Bjerknes, J. D., Ismail, A. R., Bjerknes, J. D., Timmis, J., & Winfield, A. F. (2015). An artificial immune system for self-healing in swarm robotic systems. Lecture Notes in Artificial Intelligence, 9303, 61-74. https://doi.org/10.1007/978-3-319-23108-2_6
DOI https://doi.org/10.1007/978-3-319-23108-2_6
Keywords swarm robotics, artificial immune systems
Publisher URL http://dx.doi.org/10.1007/978-3-319-23108-2_6