Towards exogenous fault detection in swarm robotic systems

Alan G. Millard; Jon Timmis; Alan F T Winfield

doi:10.1007/978-3-662-43645-5_44

Towards exogenous fault detection in swarm robotic systems

Alan G. Millard^*, Jon Timmis, Alan F T Winfield

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

It has long been assumed that swarm systems are robust, in the sense that the failure of individual robots will have little detrimental effect on a swarm's overall collective behaviour. However, Bjerknes and Winfield [1] have recently shown that this is not always the case, particularly in the event of partial failures (such as motor failure). The reliability modelling in [1] shows that overall system reliability rapidly decreases with swarm size, therefore this is a problem that cannot simply be solved by adding more robots to the swarm. Instead, future large-scale swarm systems will need an active approach to dealing with failed individuals if they are to achieve a high level of fault tolerance.

Original language	English
Title of host publication	Towards Autonomous Robotic Systems
Publisher	Springer
Pages	429-430
Number of pages	2
Volume	8069 LNAI
ISBN (Print)	9783662436448
DOIs	https://doi.org/10.1007/978-3-662-43645-5_44
Publication status	Published - 28 Jun 2014
Event	14th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2013 - Oxford, United Kingdom Duration: 28 Aug 2013 → 30 Aug 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8069 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	14th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2013
Country/Territory	United Kingdom
City	Oxford
Period	28/08/13 → 30/08/13

Access to Document

10.1007/978-3-662-43645-5_44

Cite this

Millard, A. G., Timmis, J., & Winfield, A. F. T. (2014). Towards exogenous fault detection in swarm robotic systems. In Towards Autonomous Robotic Systems (Vol. 8069 LNAI, pp. 429-430). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8069 LNAI). Springer. https://doi.org/10.1007/978-3-662-43645-5_44

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title = "Towards exogenous fault detection in swarm robotic systems",

abstract = "It has long been assumed that swarm systems are robust, in the sense that the failure of individual robots will have little detrimental effect on a swarm's overall collective behaviour. However, Bjerknes and Winfield [1] have recently shown that this is not always the case, particularly in the event of partial failures (such as motor failure). The reliability modelling in [1] shows that overall system reliability rapidly decreases with swarm size, therefore this is a problem that cannot simply be solved by adding more robots to the swarm. Instead, future large-scale swarm systems will need an active approach to dealing with failed individuals if they are to achieve a high level of fault tolerance.",

author = "Millard, {Alan G.} and Jon Timmis and Winfield, {Alan F T}",

year = "2014",

month = jun,

day = "28",

doi = "10.1007/978-3-662-43645-5_44",

language = "English",

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volume = "8069 LNAI",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "429--430",

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Millard, AG , Timmis, J & Winfield, AFT 2014, Towards exogenous fault detection in swarm robotic systems. in Towards Autonomous Robotic Systems. vol. 8069 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8069 LNAI, Springer, pp. 429-430, 14th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2013, Oxford, United Kingdom, 28/08/13. https://doi.org/10.1007/978-3-662-43645-5_44

Towards exogenous fault detection in swarm robotic systems. / Millard, Alan G.; Timmis, Jon; Winfield, Alan F T.
Towards Autonomous Robotic Systems. Vol. 8069 LNAI Springer, 2014. p. 429-430 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8069 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Winfield, Alan F T

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N2 - It has long been assumed that swarm systems are robust, in the sense that the failure of individual robots will have little detrimental effect on a swarm's overall collective behaviour. However, Bjerknes and Winfield [1] have recently shown that this is not always the case, particularly in the event of partial failures (such as motor failure). The reliability modelling in [1] shows that overall system reliability rapidly decreases with swarm size, therefore this is a problem that cannot simply be solved by adding more robots to the swarm. Instead, future large-scale swarm systems will need an active approach to dealing with failed individuals if they are to achieve a high level of fault tolerance.

AB - It has long been assumed that swarm systems are robust, in the sense that the failure of individual robots will have little detrimental effect on a swarm's overall collective behaviour. However, Bjerknes and Winfield [1] have recently shown that this is not always the case, particularly in the event of partial failures (such as motor failure). The reliability modelling in [1] shows that overall system reliability rapidly decreases with swarm size, therefore this is a problem that cannot simply be solved by adding more robots to the swarm. Instead, future large-scale swarm systems will need an active approach to dealing with failed individuals if they are to achieve a high level of fault tolerance.

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Towards exogenous fault detection in swarm robotic systems

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