Mobile robot guidance using cellular neural networks and fuzzy logic

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Use this identifier to quote or link this document: http://hdl.handle.net/2072/449945

Title:	Mobile robot guidance using cellular neural networks and fuzzy logic
Author:	Balsi, Marco; Maraschini, Alessandro; Apicella, Giada; Luengo Álvarez, Sonia; Vilasís Cardona, Xavier
Other authors:	Universitat Ramon Llull. La Salle; Università La Sapienza
Abstract:	We show how a Cellular Neural Networks based image processing system together with a Tuzzy Logic controller are capable of providing the necessary signal processing to guide an autonomous mobile robot in a maze drawn on the fl.oor. In this way, a non-trivial navigation task is obtained by very simple hardware, making real autonomous operation feasible. An autonomous line-following robot has been first simulated and is currently being impleroented by simulating the CNN with a DSP, while the fuzzy algorithms run on a 386-microprocessor based microcontroller.
Publication date:	2001-10
Subject (UDC):	004 - Informàtica 62 - Enginyeria. Tecnologia
Subject(s):	Xarxes neuronals (Informàtica) Microprocessadors Robots autònoms
Rights:	L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by-nc-nd/4.0/ © ACIA
Pages:	8 p.
Document type:	Conference Object
Published by:	4rt Congrés Català d'Intel.ligència Artificial, Barcelona, 24-25 d'octubre de 2001
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