Title :
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
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;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870380
