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Automatic Generation of Control Programs for Walking Robots Using Genetic Programming

  • Jens Busch
  • Jens Ziegler
  • Christian Aue
  • Andree Ross
  • Daniel Sawitzki
  • Wolfgang Banzhaf
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2278)

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.

Keywords

Control Program Automatic Generation Rotational Joint Kinematic Structure Walking Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Jens Busch
    • 1
  • Jens Ziegler
    • 1
  • Christian Aue
    • 1
  • Andree Ross
    • 1
  • Daniel Sawitzki
    • 1
  • Wolfgang Banzhaf
    • 1
  1. 1.Department of Computer Science, Chair of Systems Analysis (LS XI)University of DortmundDortmundGermany

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