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
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;
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
DOI :
10.1109/WCICA.2008.4592803
