Cellular Neural Networks for Navigation of a Mobile Robot

Barbara Siemiątkowska , Artur Dubrawski

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.
Author Barbara Siemiątkowska IAR
Barbara Siemiątkowska,,
- The Institute of Automatic Control and Robotics
, Artur Dubrawski
Artur Dubrawski,,
-
Journal seriesLecture Notes In Computer Science, ISSN 0302-9743 [1611-3349]
Issue year1998
Vol1424
Pages147-154
Publication size in sheets0.5
ConferenceFirst International Conference RSCTC’98 , 22-06-1998 - 26-06-1998, Warszawa, Polska
Keywords in Englishnavigation, CNN
DOIDOI:10.1007/3-540-69115-4_21
URL http://link.springer.com/chapter/10.1007%2F3-540-69115-4_21
Languageen angielski
Score (nominal)10
Citation count*14 (2014-12-28)
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