Research on Application of Genetic Algorithm for Intelligent Mobile Robot Navigation Based on Dynamic Approach

摘要：

An intelligent mobile robot navigation model based on dynamic approach is constructed, which is integrated both head-for-target behavior and obstacle avoidance behavior. The model is described by nonlinear differential equations. It is based on the stability theory of dynamical system. The weight coefficient of each behavior which represents superiority in competition between behaviors is optimized by genetic algorithm. Navigation of mobile robot based on this model is simulated in computer. And the feasibility of genetic algorithm application for intelligent mobile robot navigation is examined. The results indicate that genetic algorithm integrates well with the dynamic approach for intelligent mobile robot navigating.

关键词： Intelligent Mobile Robot Stability GA

作者: Shiqiang Yang Weiping Fu Dexin Li Wen Wang

作者单位: School of Mechanical and Precision Instrument Engineering Xian University of Technology Xian, Shaanxi Province, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）