中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The research on path planning of wall climbing robot based on ant colony algorithm and minimum gravity consumption algorithm

文献类型:会议论文

作者Liu J(柳军); Xiao J(肖军); Sha XZ(沙宪政)
出版日期2011
会议名称2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010
会议日期December 11-12, 2010
会议地点Chongqing, China
关键词Wall climbing robot Path planning Ant colony algorithm Minimum gravity consumption algorithm
页码414-424
通讯作者柳军
中文摘要Wall climbing robot is widely studied and used in a lot of industries such as cleaning, nuclear industry, construction industry and fire department due to the character of working on vertical wall. It is adopted because it can work in the dangerous space instead of people. The paper mainly studies path planning of wall climbing robot. Firstly, the paper demonstrates path planning of wall climbing robot on the plane conditions using basic ant colony algorithm and improved ant colony algorithm. Secondly, the paper proposes the minimum gravity consumption algorithm to execute path planning on the vertical wall. At last, the paper makes path planning with the fusion of ant colony algorithm and the minimum gravity consumption algorithm. The simulation shows that the algorithms are effective.
收录类别EI ; CPCI(ISTP)
产权排序2
会议主办者Control Engineering and Information Science Research Association; Int. Front. Sci. Technol. Res. Assoc.; Trans Tech Publications; Chongqing Xueya Conferences Catering Co.,Ltd; Chongqing University of Technology
会议录Applied Mechanics and Materials
会议录出版者Trans Tech Publications
会议录出版地Clausthal-Zellerfeld, Germany
语种英语
ISSN号1660-9336
ISBN号978-3-03785-004-6
WOS记录号WOS:000302594200083
源URL[http://ir.sia.cn/handle/173321/20067]  
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
Liu J,Xiao J,Sha XZ. The research on path planning of wall climbing robot based on ant colony algorithm and minimum gravity consumption algorithm[C]. 见:2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010. Chongqing, China. December 11-12, 2010.

入库方式: OAI收割

来源:沈阳自动化研究所

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