Genetic algorithms for autonomous robot navigation

被引：80

作者：

Manikas, Theodore W.

Ashenayi, Kaveh

Wainwright, Roger L.

机构：

[1] Department of Electrical Engineering, The University of Tulsa, Tulsa, OK

来源：

IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE | 2007年 / 10卷 / 06期

关键词：

Mobile robots;

D O I：

10.1109/MIM.2007.4428579

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order for mobile robot to interact with its environment and to adapt to changing conditions, autonomous navigation method is required. The mobile robot is equipped with sensors to detect obstacles in the navigation environment, and the machine intelligence such as genetic algorithms is required for the robot to plan a path around these obstacles. The genetic algorithm methods have been developed in solving the path-planning problem for autonomous robot navigation. The mobile robot that contains measurement device is designed to record the data then transmits it or brings it back to the operator.

引用

页码：26 / 31

页数：6

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