摘要
提出了在动态环境中,基于遗传模糊算法的移动机器人的局部避障规划方法,该方法适用于复杂环境情况.仿真结果表明改进遗传算法的模糊控制估化效果优于传统遗传算法模糊控制效果,能够满足移动机器人局部路径规划的实时性要求.
A genetic-fuzzy approach is developed to solve the navigation problem of a mobile robot in dynamic environment. The improved genetic algorithms are used for tuning the scaling factors of the state variables and rule sets of a fuzzy logic controller which a robot uses to navigate among moving obstacles. The results of simulation experiment indicate the effectiveness of the proposed method.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2004年第7期946-948,共3页
Journal of Harbin Institute of Technology
基金
国家高技术研究发展计划资助项目(2001AA422270).
