中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Local minima-free design of artificial coordinating fields

文献类型:期刊论文

作者Jing XJ(景兴建); Wang YC(王越超); Jing XJ(景兴建); Wang YC(王越超)
刊名Journal of Control Theory and Applications
出版日期2004
卷号2期号:4页码:371-380
ISSN号1672-6340
产权排序1
中文摘要In order to overcome the drawbacks of conventional artificial potential fields (APF) based methods for the motion planning problems of mobile robots in dynamic uncertain environments, an artificial coordinating fields (ACF) based method has been proposed recently. This paper deals with the reachability problem of the ACF, that is, how to design and choose the parameters of the ACF and how the environment should be such that the robot can reach its goal without being trapped in local minima. Some sufficient conditions for these purposes are developed theoretically. Theoretical analyses show that, the ACF can effectively remove local minima in dynamic uncertain environments with V-shape or U-shape obstacles, and guide the mobile robot to reach its goal with some necessary environment constraints and based on the methods provided in this paper to properly choose the parameters of the ACF. Comparisons between the ACF and APF, and simulations are provided to illustrate the advantages of the ACF.
语种英语
公开日期2012-05-29
源URL[http://ir.sia.cn/handle/173321/7373]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Jing XJ,Wang YC,Jing XJ,et al. Local minima-free design of artificial coordinating fields[J]. Journal of Control Theory and Applications,2004,2(4):371-380.
APA Jing XJ,Wang YC,Jing XJ,&Wang YC.(2004).Local minima-free design of artificial coordinating fields.Journal of Control Theory and Applications,2(4),371-380.
MLA Jing XJ,et al."Local minima-free design of artificial coordinating fields".Journal of Control Theory and Applications 2.4(2004):371-380.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。