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

  • Bojan Jakimovski
  • Erik Maehle
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5060)

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.

Keywords

Robot anomaly detection robot fault detection artificial immune system clonal selection self-healing self-reconfiguration fault tolerant robot six legged robot 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Bojan Jakimovski
    • 1
  • Erik Maehle
    • 1
  1. 1.Institute of Computer EngineeringUniversity LuebeckGermany

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