DocumentCode
2542212
Title
Learning of membership functions of fuzzy behaviours for a mobile robot control system
Author
Qiu, Jiancheng ; Walters, Michael
Author_Institution
Luton Univ., UK
Volume
2
fYear
1997
fDate
7-11 Sep 1997
Firstpage
772
Abstract
This paper introduces a learning algorithm to automatically learn membership functions of fuzzy behaviours for a mobile robot reactive control system. Genetic algorithms are used to implement the learning processes. The learning process emphasises the functionalities of individual behaviours, various types of training environments and a simple-to-complex multistage learning course for the purpose of building a real world mobile robot. The effectiveness of the algorithm is presented
Keywords
fuzzy control; genetic algorithms; learning systems; mobile robots; fuzzy behaviours; genetic algorithms; membership function learning; mobile robot reactive control system; simple-to-complex multistage learning course; Automatic control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Laser radar; Mobile robots; Robot control; Sonar navigation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 1997. IROS '97., Proceedings of the 1997 IEEE/RSJ International Conference on
Conference_Location
Grenoble
Print_ISBN
0-7803-4119-8
Type
conf
DOI
10.1109/IROS.1997.655098
Filename
655098
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