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Automatic Generation of Control Programs for Walking Robots Using Genetic Programming

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Genetic Programming (EuroGP 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2278))

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Abstract

We present the system SIGEL that combines the simulation and visualization of robots with a Genetic Programming system for the automated evolution of walking. It is designed to automatically generate control programs for arbitrary robots without depending on detailed analytical information of the robots ’kinematic structure. Different fitness functions as well as a variety of parameters allow the easy and interactive configuration and adaptation of the evolution process and the simulations.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Chair of Systems Analysis (LS XI), University of Dortmund, D-44221, Dortmund, Germany

    Jens Busch, Jens Ziegler, Christian Aue, Andree Ross, Daniel Sawitzki & Wolfgang Banzhaf

Authors
  1. Jens Busch
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  2. Jens Ziegler
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  3. Christian Aue
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  4. Andree Ross
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  5. Daniel Sawitzki
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  6. Wolfgang Banzhaf
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Idaho, 83844-1010, Moscow, ID, USA

    James A. Foster

  2. INRIA Rocquencourt, B.P. 105, 78153, Le Chesnay Cedex, France

    Evelyne Lutton

  3. School of Computer Science, University of Birmingham, B15 2TT, Birmingham, UK

    Julian Miller

  4. Department of Computer Science and Information Systems, University of Limerick, Schuman Building, Limerick, Ireland

    Conor Ryan

  5. Dip. Tecnologie dell’Informazione, Università degli Studi di Milano, Via Bramante 65, 26013, Crema, Italy

    Andrea Tettamanzi

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© 2002 Springer-Verlag Berlin Heidelberg

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Busch, J., Ziegler, J., Aue, C., Ross, A., Sawitzki, D., Banzhaf, W. (2002). Automatic Generation of Control Programs for Walking Robots Using Genetic Programming. In: Foster, J.A., Lutton, E., Miller, J., Ryan, C., Tettamanzi, A. (eds) Genetic Programming. EuroGP 2002. Lecture Notes in Computer Science, vol 2278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45984-7_25

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  • DOI: https://doi.org/10.1007/3-540-45984-7_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43378-1

  • Online ISBN: 978-3-540-45984-2

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