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Evolving Brain Structures for Robot Control

  • Frank Pasemann
  • Uli Steinmetz
  • Martin Hülse
  • Bruno Lara2
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2085)

Abstract

To study the relevance of recurrent neural network structures for the behavior of autonomous agents a series of experiments with miniature robots is performed. A special evolutionary algorithm is used to generate netw orks of different sizes and architectures. Solutions for obstacle a voidance and phototropic behavior are presented. Networks are evolved with the help of simulated robots, and the results are validated with the use of physical robots.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Frank Pasemann
    • 1
    • 2
  • Uli Steinmetz
    • 1
  • Martin Hülse
    • 2
  • Bruno Lara2
    • 2
  1. 1.Max Planck Institute for Mathematics in the SciencesLeipzig
  2. 2.TheorieLabor, Friedrich Schiller UniversityJena

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