Evolutionary Techniques for Mobile Robot Navigation

被引：0
|
作者：
Yun, Soh Chin [1 ]
Parasuraman, S. [1 ]
Ganapathy, Velappa
机构：
[1] Monash Univ, Sch Engn, Bandar Sunway 46150, Malaysia
来源：
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词：
Genetic Algorithm (GA); Path Planning; Genetic Controller; Goal Oriented Path Planning Algorithm (GOPPA); Team AmigoBot (TM) robot and MATLAB;
D O I：
10.4028/www.scientific.net/AMR.433-440.6646
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Current research trend in mobile robot is to build intelligent and autonomous systems that enables mobile robot to plan its motion in static and dynamic environment. In this paper, Genetic Algorithm (GA) is utilized to come out with an algorithm that enables the mobile robot to move from the starting position to the desired goal without colliding with any of the obstacles in the environment. The proposed navigation technique is capable of re-planning new optimum collision free path in the event of mobile robot encountering dynamic obstacles. The method is verified using MATLAB simulation and validated by Team AmigoBot (TM) robot. The results obtained from MATLAB simulation and real time implementation are discussed at the end of the paper.
引用
收藏
页码：6646 / 6651
页数：6
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