标题:An improved chaotic motion path planner for autonomous mobile robots based on a logistic map regular paper
作者:Li, Caihong ;Wang, Fengying ;Zhao, Lei ;Li, Yibin ;Song, Yong
作者机构:[Li, Caihong ;Wang, Fengying ;Zhao, Lei ] School of Computer Science and Technology, Shandong University of Technology, China;[Li, Yibin ;Song, Yong ] 更多
通讯作者:Wang, F
来源:International Journal of Advanced Robotic Systems
出版年:2013
卷:10
DOI:10.5772/56587
关键词:Arcsine and arccosine transformation; Autonomous mobile robot; Chaos; Evenness; Sclcp
摘要:This paper presents a chaotic motion path planner based on a Logistic Map (SCLCP) for an autonomous mobile robot to cover an unknown terrain randomly, namely entirely, unpredictably and evenly. The path planner has been improved by arcsine and arccosine transformation. A motion path planner based only on the Logistic Chaotic Map (LCP) can show chaotic behaviour, which possesses the chaotic characteristics of topological transitivity and unpredictability, but lacks better evenness. Therefore, the arcsine and arccosine transformations are used to enhance the randomness of LCP. The randomness of the followed path planner, LCP, the improved path planner SCLCP and the commonly used Random Path Planner (RP) are discussed and compared under different sets of initial conditions and different iteration rounds. Simulation results confirm that a better evenness index of SCLCP can be obtained with regard to previous works. © 2013 Li et al.
收录类别:EI;SCOPUS
Scopus被引频次:7
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879467541&doi=10.5772%2f56587&partnerID=40&md5=4b3c5d3f5c64326a62d37644a6e87e95
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