Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots

  • Georg Martius
  • J. Michael Herrmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6226)

Abstract

Self-organizing processes are crucial for the development of living beings. Practical applications in robots may benefit from the self-organization of behavior, e.g. for the increased fault tolerance and enhanced flexibility provided that external goals can also be achieved. We present several methods for the guidance of self-organizing control by externally prescribed criteria. We show that the degree of self-organized explorativity of the robot can be regulated and that problem-specific error functions, hints, or abstract symbolic descriptions of a goal can be reconciled with the continuous robot dynamics.

Keywords

Controller Parameter Autonomous Robot Teaching Signal Imitation Learning Wheel Velocity 
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 2010

Authors and Affiliations

  • Georg Martius
    • 1
    • 2
    • 3
  • J. Michael Herrmann
    • 1
    • 2
    • 4
  1. 1.Bernstein Center for Computational Neuroscience GöttingenGöttingenGermany
  2. 2.Institute for Nonlinear DynamicsUniversity of GöttingenGöttingenGermany
  3. 3.Max Planck Institute for Dynamics and Self-OrganizationGöttingenGermany
  4. 4.School of Informatics, IPABUniversity of EdinburghEdinburghU.K.

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