Towards fault diagnosis in robot swarms : An online behaviour characterisation approach

O’Keeffe, James, Tarapore, Danesh orcid.org/0000-0002-3226-6861, Millard, Alan G. orcid.org/0000-0002-4424-5953 et al. (1 more author) (2017) Towards fault diagnosis in robot swarms : An online behaviour characterisation approach. In: Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings. 18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017, 19-21 Jul 2017 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer , GBR , pp. 393-407.

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Item Type: Proceedings Paper
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© Springer International Publishing AG 2017. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Keywords: Behaviour characterisation, Fault diagnosis, Feature vector, Swarm robotics
Dates:
  • Accepted: 25 March 2017
  • Published: 20 July 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 18 Aug 2017 15:45
Last Modified: 19 Apr 2024 23:04
Published Version: https://doi.org/10.1007/978-3-319-64107-2_31
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Refereed: No
Identification Number: https://doi.org/10.1007/978-3-319-64107-2_31
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Description: Towards Fault Diagnosis in Robot Swarms: An Online Behaviour Characterisation Approach

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