DocumentCode
2472809
Title
Evolutionary fuzzy navigation for security robots
Author
Ju, Hao ; Zhang, Jianxun ; Pei, Xiaoxu ; Xing, Guansheng
Author_Institution
Inst. of Robot & Inf. Autom. Syst., Nankai Univ., Tianjin
fYear
2008
fDate
25-27 June 2008
Firstpage
5739
Lastpage
5743
Abstract
A new method based on genetic algorithm to evolve fuzzy rules is proposed for security robots. We constitute kinematics model of the actual robot, and use integer coding to design effective chromosome, multi-objective optimization of fitness is also designed. After the fuzzy rules are evolved in the simulation environment, they are transplanted to the hardware of security robot. Experiment results prove the method is correct and feasible.
Keywords
fuzzy control; fuzzy set theory; genetic algorithms; robot kinematics; evolutionary fuzzy navigation; fuzzy rules; genetic algorithm; integer coding; multi-objective optimization; security robots; Fuzzy control; Fuzzy systems; Genetic algorithms; Information security; Intelligent control; Intelligent robots; Kinematics; Navigation; Robotics and automation; Virtual colonoscopy; Security robot; fuzzy control; genetic algorithm; navigation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4592803
Filename
4592803
Link To Document