Evolutionary computation techniques for behaviour fusion in autonomous mobile robots

Author

Martínez, Humberto ; Gómez-Skarmeta, Antonio ; Jiménez, Fernando ; Zamora, Miguel

Author_Institution

Dept. Inf., Inteligencia Artificial y Electron., Murcia Univ., Spain

Volume

1

fYear

2000

fDate

2000

Firstpage

798

Abstract

In this paper, we present evolutionary techniques to solve the problem of the conflicts between different behaviours in the context of an autonomous mobile robot. We also describe the working environment, based on a custom programming language (named BG after its inventors, Barber´a and Go´mez, 1996) and an agent architecture, where we test a series of behaviours that were developed using fuzzy logic. Finally, some results related to a simple navigational task in an unknown environment are presented

Keywords

evolutionary computation; fuzzy control; fuzzy logic; intelligent control; mobile robots; path planning; software agents; BG language; agent architecture; autonomous mobile robots; behaviour fusion; behavioural conflicts; custom programming language; evolutionary computation techniques; fuzzy logic; navigational task; unknown environment; Computer languages; Evolutionary computation; Fuzzy logic; Logic testing; Mobile robots; Navigation; Robot control; Robot kinematics; Robot sensing systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2000. Proceedings of the 2000 Congress on

Conference_Location

La Jolla, CA

Print_ISBN

0-7803-6375-2

Type

conf

DOI

10.1109/CEC.2000.870380

Filename

870380