Structural identification and calibration of kinematic robot models by genetic search

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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

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