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栅格编码新方法在机器人路径规划中的应用
引用本文:张捍东,董保华,岑豫皖,郑睿.栅格编码新方法在机器人路径规划中的应用[J].华中科技大学学报(自然科学版),2007,35(1):50-53.
作者姓名:张捍东  董保华  岑豫皖  郑睿
作者单位:安徽工业大学,电气信息学院,安徽,马鞍山,243002
基金项目:国家自然科学基金 , 安徽省教育厅自然科学基金
摘    要:基于遗传算法的移动机器人路径规划技术,提出了一种新的定长十进制路径编码机制.在对移动机器人的环境进行有效栅格剖分后,将障碍物表示为以栅格为基础的多边形,每个障碍物多边形的顶点对应于栅格线交点的惟一编号;随后将移动机器人的路径编码成以栅格地图上所有多边形有效顶点数之和为定长的十进制编码串,串中非零位上的十进制值对应着规划路径中途经障碍物多边形的顶点,各顶点在串中的顺序对应着其在规划路径中的顺序.所提出的编码方式拥有定长十进制编码机制通用性好的优点,并且基于此编码的遗传算法很容易克服路径规划算法中的障碍陷阱,使得路径规划算法更加简单有效,加快了遗传算法的收敛速度.

关 键 词:移动机器人  路径规划  遗传算法  栅格法  十进制编码  栅格编码  方法  机器人路径规划  应用  mobile  robot  path  planning  grids  based  mechanism  novel  encoding  收敛速度  路径规划算法  遗传算法  通用性  编码方式  顶点对应  零位  中非  编码串
文章编号:1671-4512(2007)01-0050-04
修稿时间:08 12 2005 12:00AM

Application of path encoding novel mechanism based on grids in path planning for mobile robot
Zhang Handong,Dong Baohua,Cen Yuwan,Zheng Rui.Application of path encoding novel mechanism based on grids in path planning for mobile robot[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2007,35(1):50-53.
Authors:Zhang Handong  Dong Baohua  Cen Yuwan  Zheng Rui
Institution:School of Electrical Engineering ~ Information, Anhui University of Technology, Maanshan 243002, Anhui China
Abstract:For genetic algorithm based on the technology of path planning of mobile robot,a novel fixed-length decimal encoding mechanism is proposed.Robot's motion environment was divided by effective grids.Then the obstacles can be described as polygons based on the grids.The only vertexes of every polygon have the corresponding decimal by the cross of the grids.After that, the paths are encoded into decimal data,which equal to the amount of all vertexes of polygons in grids.In the chromosome,each nonzero bit is the code of a vertex about corresponding obstacle for the path planning.The order of vertexes in a chromosome is that in a path.Such an encoding mechanism has excellent suitability of the fixed-length decimal encoding;it also easily overcomes the trap of the obstacles in path planning.The algorithm makes the path planning more simple and effective.
Keywords:mobile robot  path planning  genetic algorithms  grids  decimal encoding
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