Application of multiobjective genetic programming to the design of robot failure recognition systems

Zhang, Y. and Rockett, P.I. (2009) Application of multiobjective genetic programming to the design of robot failure recognition systems. IEEE Transactions on Automation Science and Engineering, 6 (2). pp. 372-376. ISSN 1545-5955

Abstract

Metadata

Authors/Creators:
  • Zhang, Y. (Yuanming.Zhang@sheffield.ac.uk)
  • Rockett, P.I. (P.Rockett@sheffield.ac.uk)
Copyright, Publisher and Additional Information: © Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Autonomous robots; failure recognition; feature extraction; multiobjective genetic programming (MOGP)
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 12 May 2009 13:12
Last Modified: 08 Feb 2013 16:58
Published Version: http://dx.doi.org/10.1109/TASE.2008.2004414
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TASE.2008.2004414

Download

Filename: Rockett_Application.pdf

Share / Export

Statistics