Application of genetic programming to the calibration of industrial robots

Created by W.Langdon from gp-bibliography.bib Revision:1.4163

  author =       "J. U. Dolinsky and I. D. Jenkinson and 
                 G. J. Colquhoun",
  title =        "Application of genetic programming to the calibration
                 of industrial robots",
  journal =      "Computers in Industry",
  year =         "2007",
  volume =       "58",
  number =       "3",
  pages =        "255--264",
  month =        apr,
  publisher =    "Elsevier Science Publishers B. V.",
  publisher_address = "Amsterdam, The Netherlands",
  keywords =     "genetic algorithms, genetic programming, Inverse
                 static kinematic calibration, Distal supervised
                 learning, Co-evolution",
  ISSN =         "0166-3615",
  DOI =          "doi:10.1016/j.compind.2006.06.003",
  abstract =     "Robot calibration is a widely studied area for which a
                 variety of solutions have been generated. Most of the
                 methods proposed address the calibration problem by
                 establishing a model structure followed by indirect,
                 often ill-conditioned numeric parameter identification.
                 This paper introduces a new inverse static kinematic
                 calibration technique based on genetic programming,
                 which is used to establish and identify model structure
                 and parameters. The technique has the potential to
                 identify the true calibration model avoiding the
                 problems of conventional methods. The fundamentals of
                 this approach are described and experimental results
  notes =        "Codeplay Ltd., Edinburgh, UK

                 School of Engineering, Liverpool John Moores
                 University, Byrom Street, Liverpool L3 3AF, UK",

Genetic Programming entries for Jens-Uwe Dolinsky Ian D Jenkinson G J Colquhoun