- 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 provided.",
-
notes = "Codeplay Ltd., Edinburgh, UK
School of Engineering, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, UK",
