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    Título
    Learning Fuzzy Reactive Behaviors in Autonomous Robots
    Autor
    Matellán Olivera, VicenteAutoridad Buleria ORCID
    Molina, José Manuel
    Sánz, Javier
    Fernández Llamas, CaminoAutoridad Buleria ORCID
    Facultad/Centro
    Escuela de Ingenierias Industrial e Informatica
    Área de conocimiento
    Arquitectura y Tecnologia de Computadores
    Datos de la obra
    IV European Workshop on Learning Robots, 1995, Karlsruhe (Alemania)
    Fecha
    1995
    Abstract
    This paper is concerned with the learning of basic behaviors in autonomous robots. In this way, we present a method for the adaptation of basic reactive behaviors implemented as fuzzy controllers applying a genetic algorithm to the evolution of the fuzzy rule system. In this sense, we show our experiments in the evolution of control rules based on symbolic concepts represented as linguistic labels. The rules will be formulated in a fuzzy way and in order to test the rules obtained in each generation of the genetic algorithm a real robot has been used. The individual with the best performance is chosen to generate a new population: the elite strategy. All the new individuals were tested in the same real environment. In conclusion, the individuals of the last generation offer a set of rules that provides better performance than the ones designed by a non-expert designer
    Materia
    Informática
    Palabras clave
    Robótica
    Robots autónomos
    Fuzzy
    Aprendizaje
    Idioma
    eng
    Tipo documental
    info:eu-repo/semantics/conferenceObject
    Subtipo documental
    info:eu-repo/semantics/lecture
    URI
    http://hdl.handle.net/10612/1907
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    • Comunicaciones a congresos, conferencias, etc. [805]
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