中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Algorithm research of inspection robot for searching for pose of overhead ground wires

文献类型:会议论文

作者Zhu XL(朱兴龙); Wang HG(王洪光); Fang LJ(房立金); Zhao MY(赵明扬); Zhou JP(周骥平)
出版日期2006
会议名称6th World Congress on Intelligent Control and Automation
会议日期June 21-23, 2006
会议地点Dalian, China
关键词autonomous obstacle surmounting algorithm inspection of transmission lines mobile robot
页码7513-7517
通讯作者朱兴龙
中文摘要When inspection robot surmounts the obstacles, one arm is on the overhead ground wires (OGWs), the other arm is off OGWs. After surmounting the obstacles, the arm, which had been off, demands to be on OGWs again. Now the problem is that the pose of OGWs is unknown, and how to ensure the arm had been off comes back to OGWs again, and implements autonomous obstacles negotiating. Two laser sensors are adopted for checking two marginal points on OGWs, and the pose of OGWs is determined by the checking marginal points. According to the kinematics model of inspection robot, the rotary angles can be programmed by the algorithm proposed, and the arm can realizes autonomously to be on OGWs reliably. Finally, the simulation test shows that the algorithm presented is feasible.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Dalian Univ Technol, Northeastern Univ, Dalian Maritime Univ, Shanghai Baosight Software Co Ltd, IEEE Robot & Automat Soc, Natl Nat Sci Fdn China, Chinese Assoc Automat, IEEE Control Syst Soc, Beijing Chapter, Minist Educ China, Grandar Robot Co Ltd, Yokogawa Elect Corp, KC Wong Educ Fdn, Siemens Ltd
会议录WCICA 2006: Sixth World Congress on Intelligent Control and Automation, Vols 1-12, Conference Proceedings
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号1-4244-0331-6
WOS记录号WOS:000241773208107
源URL[http://ir.sia.cn/handle/173321/8551]  
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
Zhu XL,Wang HG,Fang LJ,et al. Algorithm research of inspection robot for searching for pose of overhead ground wires[C]. 见:6th World Congress on Intelligent Control and Automation. Dalian, China. June 21-23, 2006.

入库方式: OAI收割

来源:沈阳自动化研究所

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