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

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 ha...

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Main Authors:	Ismail, Amelia Ritahani, Bjerknes, J, Timmis, Jon, Winfield, Alan
Other Authors:	Lones, Michael
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer International Publishing 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/44881/ http://irep.iium.edu.my/44881/ http://irep.iium.edu.my/44881/ http://irep.iium.edu.my/44881/7/Amelia-Artificial-robotic-completed.pdf http://irep.iium.edu.my/44881/10/44881_An%20artificial%20immune%20system%20for%20self-healing_Scopus.pdf

id	iium-44881
recordtype	eprints
spelling	iium-448812017-09-19T10:29:10Z http://irep.iium.edu.my/44881/ An artificial immune system for self-healing in swarm robotic systems Ismail, Amelia Ritahani Bjerknes, J Timmis, Jon Winfield, Alan QA75 Electronic computers. Computer science 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. Springer International Publishing Lones, Michael Tyrell, Andy Smith, Stephen Fogel, Gary 2015-09-02 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/44881/7/Amelia-Artificial-robotic-completed.pdf application/pdf en http://irep.iium.edu.my/44881/10/44881_An%20artificial%20immune%20system%20for%20self-healing_Scopus.pdf Ismail, Amelia Ritahani and Bjerknes, J and Timmis, Jon and Winfield, Alan (2015) An artificial immune system for self-healing in swarm robotic systems. In: 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, 14-16 September 2015, San Diego, CA, USA,. http://link.springer.com/chapter/10.1007%2F978-3-319-23108-2_6 10.1007%2F978-3-319-23108-2_6
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Ismail, Amelia Ritahani Bjerknes, J Timmis, Jon Winfield, Alan An artificial immune system for self-healing in swarm robotic systems
description	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.
author2	Lones, Michael
author_facet	Lones, Michael Ismail, Amelia Ritahani Bjerknes, J Timmis, Jon Winfield, Alan
format	Conference or Workshop Item
author	Ismail, Amelia Ritahani Bjerknes, J Timmis, Jon Winfield, Alan
author_sort	Ismail, Amelia Ritahani
title	An artificial immune system for self-healing in swarm robotic systems
title_short	An artificial immune system for self-healing in swarm robotic systems
title_full	An artificial immune system for self-healing in swarm robotic systems
title_fullStr	An artificial immune system for self-healing in swarm robotic systems
title_full_unstemmed	An artificial immune system for self-healing in swarm robotic systems
title_sort	artificial immune system for self-healing in swarm robotic systems
publisher	Springer International Publishing
publishDate	2015
url	http://irep.iium.edu.my/44881/ http://irep.iium.edu.my/44881/ http://irep.iium.edu.my/44881/ http://irep.iium.edu.my/44881/7/Amelia-Artificial-robotic-completed.pdf http://irep.iium.edu.my/44881/10/44881_An%20artificial%20immune%20system%20for%20self-healing_Scopus.pdf
first_indexed	2023-09-18T21:03:49Z
last_indexed	2023-09-18T21:03:49Z
_version_	1777410800210673664

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

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