Evolutionary computing based mobile robot localization
摘要：
Evolutionary computing techniques, including genetic algorithms (GA), particle swarm optimization (PSO) and ants system (AS) are applied to the localization problem of a mobile robot. Salient features of robot localization are that the system is partially dynamic and information for fitness evaluation is incomplete and corrupted by noise. In this research, variations to the above three evolutionary computing techniques are proposed to tackle the specific dynamic and noisy system. Their performances are compared based on simulation and experiment results and the feasibility of the proposed approach to mobile robot localization is demonstrated.
展开
DOI：
10.1016/j.engappai.2006.01.020
被引量：
年份：
2006
通过文献互助平台发起求助，成功后即可免费获取论文全文。
相似文献
参考文献
引证文献
引用走势
辅助模式
引用
文献可以批量引用啦~
欢迎点我试用！
