DocumentCode :
2137194
Title :
Path planning for mobile robots based on genetic algorithms
Author :
Jintao Su ; Jianfeng Li
Author_Institution :
Jiangsu Autom. Res. Inst., Lianyungang, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
723
Lastpage :
727
Abstract :
A path planning method for mobile robots is designed based on genetic algorithms. The grid map method is used to describe the movement environment of mobile robots. Some new genetic operators are designed in addition to the traditional genetic operators. The method based on genetic algorithms achieves the requirement that the planned movement path for mobile robots is the optimal. Experimental results show that it is effective to mobile robots´ path planning problems.
Keywords :
genetic algorithms; mobile robots; path planning; genetic algorithms; genetic operators; grid map method; mobile robots; path planning method; Biological cells; Genetic algorithms; Mobile robots; Path planning; Sociology; Statistics; genetic algorithms; path planning; robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6818070
Filename :
6818070
Link To Document :
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