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Dynamical Neural Schmitt Trigger for Robot Control

  • Martin Hülse
  • Frank Pasemann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2415)

Abstract

Structure and function of a small but effective neural network controlling the behavior of an autonomous miniatur robot is analyzed. The controller was developed with the help of an evolutionary algorithm, and it uses recurrent connectivity structure allowing non-trivial dynamical effects. The interplay of three different hysteresis elements leading to a skilled behavior of the robot in challenging environments is explicitly discussed.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Martin Hülse
    • 1
  • Frank Pasemann
    • 1
  1. 1.Schloss BirlinghovenFraunhofer Institute for Autonomous Intelligent Systems (AIS)Sankt AugustinGermany

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