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Cellular Neural Networks for Navigation of a Mobile Robot

  • Barbara Siemiatkowska
  • Artur Dubrawski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1424)

Abstract

This paper summarizes applications of cellular neural networks to autonomous mobile robot navigation tasks, which have been developed at the Institute of Fundamental Technological Research. They include map building, path planning and self-positioning of an indoor robot equipped with a laser range sensor. Efficiency of navigation based on cellular neural networks has been experimentally verified in a variety of natural, partially structured environments.

Keywords

Mobile Robot Path Planning Cellular Neural Network Layer Neuron Autonomous Navigation 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Barbara Siemiatkowska
    • 1
  • Artur Dubrawski
    • 1
  1. 1.Institute of Fundamental Technological ResearchPolish Academy of SciencesWarszawaPoland

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