Towards autonomous robot control via self-adapting recurrent networks

  • Tom Ziemke
Poster Presentations 1 Applications in Robotics and Industry
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1112)


This paper introduces a connectionist architecture for autonomous robot control in which second-order recurrent connections are used to provide a flexible, context-dependent mapping from percepts to actions in order to allow the network to adapt its behaviour continually to its current context and internal state. It is argued that this mechanism, to a higher degree than modular approaches, allows the robot to acquire and adapt complex behaviour autonomously.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Tom Ziemke
    • 1
    • 2
  1. 1.Neural Computing Group, Dept. of Computer ScienceUniversity of SheffieldUK
  2. 2.Connectionist Research Group, Dept. of Computer ScienceUniversity of SkövdeSkövdeSweden

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