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Towards Fault Diagnosis in Robot Swarms: An Online Behaviour Characterisation Approach

  • James O’Keeffe
  • Danesh Tarapore
  • Alan G. Millard
  • Jon Timmis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10454)

Abstract

Although robustness has been cited as an inherent advantage of swarm robotics systems, it has been shown that this is not always the case. Fault diagnosis will be critical for future swarm robotics systems if they are to retain their advantages (robustness, flexibility and scalability). In this paper, existing work on fault detection is used as a foundation to propose a novel approach for fault diagnosis in swarms based on a behavioural feature vector approach. Initial results show that behavioural feature vectors can be used to reliably diagnose common electro-mechanical fault types in most cases tested.

Keywords

Fault diagnosis Feature vector Behaviour characterisation Swarm robotics 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • James O’Keeffe
    • 1
  • Danesh Tarapore
    • 2
  • Alan G. Millard
    • 1
  • Jon Timmis
    • 1
  1. 1.Department of Electronic EngineeringUniversity of YorkYorkUK
  2. 2.School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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