Cellular Neural Networks for Navigation of a Mobile Robot
Conference Paper, Proceedings of 1st International Conference on Rough Sets and Current Trends in Computing (RSCTC '98), pp. 147 - 154, June, 1998
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.
BibTeX
@conference{Siemiatkowska-1998-121906,author = {B. Siemiatkowska and A. Dubrawski},
title = {Cellular Neural Networks for Navigation of a Mobile Robot},
booktitle = {Proceedings of 1st International Conference on Rough Sets and Current Trends in Computing (RSCTC '98)},
year = {1998},
month = {June},
pages = {147 - 154},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.