RT info:eu-repo/semantics/article
T1 Genetic learning of fuzzy reactive controllers
A1 Matellán Olivera, Vicente
A1 Fernández Llamas, Camino
A2 Arquitectura y Tecnologia de Computadores
K1 Informática
K1 Robots autónomos
K1 Fuzzy
K1 Algoritmos genéticos
K1 Búsqueda
AB This paper concerns the learning of basic behaviors in an autonomous robot. It presents a method to adapt basic reactive behaviors using  a  genetic  algorithm. Behaviors  are implemented  as fuzzy controllers  and the genetic  algorithm is used to evolve their rules.  These rules will be formulated in a fuzzy way using prefixed linguistic labels.  In order to test the rules obtained in each generation of the genetic evolution process, a real robot has been used. Numerical results from the evolution rate  of the  different experiments,  as well  as an example of the fuzzy rules  obtained,  are presented  and discussed
PB Elsevier
YR 2012
FD 2012-11-09
LK http://hdl.handle.net/10612/1988
UL http://hdl.handle.net/10612/1988
NO Robotics and Autonomous Systems, 1998, vol. 25, n. 1-2
NO P. 33-41
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 24-abr-2024