Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots

Bojan Jakimovski; Erik Maehle

doi:10.1007/978-3-540-69295-9_16

Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots

Bojan Jakimovski, Erik Maehle

Institut für Technische Informatik

Abstract

Robot anomaly detection method described in this paper uses an approach inspired by an immune system for detecting failures within autonomous robot system. The concept is based on self-nonself discrimination and clonal selection principles found within the natural immune system. The approach applies principles of fuzzy logic for representing and processing the information within the artificial immune system. Throughout the paper we explain the working principle of RADE (Robot Anomaly Detection Engine) approach and we show its practical effectiveness through several experimental test cases.

Originalsprache	Englisch
Titel	ATC 2008: Autonomic and Trusted Computing
Seitenumfang	14
Band	5060 LNCS
Herausgeber (Verlag)	Springer Verlag
Erscheinungsdatum	05.08.2008
Seiten	177-190
ISBN (Print)	978-3-540-69294-2
ISBN (elektronisch)	978-3-540-69295-9
DOIs	https://doi.org/10.1007/978-3-540-69295-9_16
Publikationsstatus	Veröffentlicht - 05.08.2008
Veranstaltung	5th International Conference on Autonomic and Trusted Computing - Oslo, Norwegen Dauer: 23.06.2008 → 25.06.2008 Konferenznummer: 72795

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title = "Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots",

abstract = "Robot anomaly detection method described in this paper uses an approach inspired by an immune system for detecting failures within autonomous robot system. The concept is based on self-nonself discrimination and clonal selection principles found within the natural immune system. The approach applies principles of fuzzy logic for representing and processing the information within the artificial immune system. Throughout the paper we explain the working principle of RADE (Robot Anomaly Detection Engine) approach and we show its practical effectiveness through several experimental test cases.",

author = "Bojan Jakimovski and Erik Maehle",

year = "2008",

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doi = "10.1007/978-3-540-69295-9_16",

language = "English",

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volume = "5060 LNCS",

series = "Lecture Notes in Computer Science ",

publisher = "Springer Verlag",

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booktitle = "ATC 2008: Autonomic and Trusted Computing",

note = "5th International Conference on Autonomic and Trusted Computing , ATC 2008 ; Conference date: 23-06-2008 Through 25-06-2008",

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Jakimovski, B & Maehle, E 2008, Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots. in ATC 2008: Autonomic and Trusted Computing . Bd. 5060 LNCS, Lecture Notes in Computer Science , Bd. 5060 LNCS, Springer Verlag, S. 177-190, 5th International Conference on Autonomic and Trusted Computing , Oslo, Norwegen, 23.06.08. https://doi.org/10.1007/978-3-540-69295-9_16

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Y1 - 2008/8/5

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AB - Robot anomaly detection method described in this paper uses an approach inspired by an immune system for detecting failures within autonomous robot system. The concept is based on self-nonself discrimination and clonal selection principles found within the natural immune system. The approach applies principles of fuzzy logic for representing and processing the information within the artificial immune system. Throughout the paper we explain the working principle of RADE (Robot Anomaly Detection Engine) approach and we show its practical effectiveness through several experimental test cases.

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DO - 10.1007/978-3-540-69295-9_16

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VL - 5060 LNCS

T3 - Lecture Notes in Computer Science

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BT - ATC 2008: Autonomic and Trusted Computing

PB - Springer Verlag

T2 - 5th International Conference on Autonomic and Trusted Computing

Y2 - 23 June 2008 through 25 June 2008

ER -

Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots

Abstract

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