Cellular neural networks for mobile robot vision

Marco Balsi, Alessandro Maraschini, Giada Apicella, Sonia Luengo, Jordi Solsona, Xavier Vilasís-Cardona

Research output: Book chapterConference contributionpeer-review

Abstract

We show how Cellular Neural Networks are capable of providing the necessary signal processing to guide an autonomous mobile robot in a maze drawn on the floor. In this way, a non-trivial navigation task is obtained by very simple hardware, making real autonomous operation feasible. An autonomous line-following robot was first simulated and then implemented by simulating the CNN with a DSP.

Original languageEnglish
Title of host publicationBio-Inspired Applications of Connectionism - 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Proceedings
PublisherSpringer Verlag
Pages484-491
Number of pages8
EditionPART 2
ISBN (Print)9783540422372
DOIs
Publication statusPublished - 2001
Event6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 - Granada, Spain
Duration: 13 Jun 200115 Jun 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume2085 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001
Country/TerritorySpain
CityGranada
Period13/06/0115/06/01

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