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Cellular Neural Networks for Navigation of a Mobile Robot

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Rough Sets and Current Trends in Computing (RSCTC 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1424))

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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.

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References

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Author information

Authors and Affiliations

  1. Institute of Fundamental Technological Research, Polish Academy of Sciences, 21 Åšwietokrzyska Str., 00-049, Warszawa, Poland

    Barbara Siemiatkowska & Artur Dubrawski

Authors
  1. Barbara Siemiatkowska
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  2. Artur Dubrawski
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Editors and Affiliations

  1. Institute of Mathematics, Warsaw University of Technology, Pl. Politechniki 1, 00-665, Warszawa, Poland

    Lech Polkowski

  2. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warszawa, Poland

    Andrzej Skowron

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© 1998 Springer-Verlag Berlin Heidelberg

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Siemiatkowska, B., Dubrawski, A. (1998). Cellular Neural Networks for Navigation of a Mobile Robot. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_21

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  • DOI: https://doi.org/10.1007/3-540-69115-4_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64655-6

  • Online ISBN: 978-3-540-69115-0

  • eBook Packages: Springer Book Archive

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