中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detection and real-time correction of faulty visual feedback in atomic force microscopy based nanorobotic manipulation

文献类型:会议论文

作者Liu LQ(刘连庆); Luo, Yilun; Wang YC(王越超); Zhang JB(张江波); Li GY(李广勇)
出版日期2008
会议日期May 19-23, 2008
会议地点Pasadena, CA
页码431-436
英文摘要One of the main roadblocks to Atomic Force Microscope (AFM) based nanomanipulation is lack of real time visual feedback. Although the model based visual feedback can partly solve this problem, its unguaranteed reliability due to the inaccurate models in nano-environment still limits the efficiency of AFM based nanomanipulation. This paper introduce a Realtime Fault Detection and Correction (RFDC) method to improve the reliability of the visual feedback. By utilizing Kalman filter and local scan technologies, the RFDC method not only can realtime detect the fault display caused by the modeling error, but also can on-line correct it without interrupting manipulation. In this way, the visual feedback keeps consistent with the true environment changes during manipulation, which makes several operations being finished without a image scanning in between. The theoretical study and the implementation of the RFDC method are elaborated in this paper. Experiments of manipulating nano-particles have been carried out to demonstrate the effectiveness and efficiency of the proposed method.
源文献作者IEEE
产权排序1
会议录2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-9
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISSN号1050-4729
ISBN号978-1-4244-1646-2
WOS记录号WOS:000258095000068
源URL[http://ir.sia.cn/handle/173321/8645]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Liu LQ(刘连庆); Luo, Yilun
作者单位1.Graduate School of Chinese Academy of Sciences, Beijing, 100001, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, 110016, China
3.Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48823, United States
4.Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15621, United States
推荐引用方式
GB/T 7714
Liu LQ,Luo, Yilun,Wang YC,et al. Detection and real-time correction of faulty visual feedback in atomic force microscopy based nanorobotic manipulation[C]. 见:. Pasadena, CA. May 19-23, 2008.

入库方式: OAI收割

来源:沈阳自动化研究所

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