Structural identification and calibration of kinematic robot models by genetic search

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Dolinsky:2000:MATADOR,
  author =       "J.-U. Dolinsky and I. D. Jenkinson and 
                 G. J. Colquhoun",
  title =        "Structural identification and calibration of kinematic
                 robot models by genetic search",
  booktitle =    "Proceedings of the 33rd international MATADOR
                 conference",
  year =         "2000",
  editor =       "David Robert Hayhurst and S. Hinduja and 
                 J. Atkinson and M. Burdekin and R. G. Hannam and L. Li and 
                 A. W. Labib",
  pages =        "197--202",
  address =      "University of Manchester, Institute for Science and
                 Technology (UMIST), UK",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "9781852333232",
  URL =          "http://books.google.co.uk/books?id=EedSAAAAMAAJ",
  URL =          "http://link.springer.com/chapter/10.1007%2F978-1-4471-0777-4_31",
  DOI =          "doi:10.1007/978-1-4471-0777-4_31",
  abstract =     "Accurate robot modelling is of great importance to the
                 application of enhanced robot programming tools such as
                 Offline Programming systems. This paper describes a
                 prototype of an automated kinematic modelling
                 environment, which is primarily based on evolutionary
                 computation. A genetic algorithm herein attempts to
                 find an optimal model structure of the forward
                 kinematic of an industrial robot based on measurements
                 reflecting individual characteristics. Finally it will
                 be reported on results obtained from simulation
                 experiments.",
  notes =        "copy in \cite{Dolinsky:thesis}",
}

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

Citations