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Study of nano-manipulation approach based on the least action principle using AFM based robotic system
Yuan S(袁帅); Liu LQ(刘连庆); Wang ZD(王志东); Xi N(席宁); Wang YC(王越超)
Department机器人学研究室
Conference Name36th Chinese Control Conference, CCC 2017
Conference DateJuly 26-28, 2017
Conference PlaceDalian, China
Author of SourceDalian University of Technology ; Systems Engineering Society of China (SESC) ; Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
Source PublicationProceedings of the 36th Chinese Control Conference, CCC 2017
PublisherIEEE Computer Society
Publication PlacePiscataway, NJ, USA
2017
Pages4424-4429
Indexed ByEI ; CPCI(ISTP)
EI Accession number20174404320007
WOS IDWOS:000432014405004
Contribution Rank1
ISSN1934-1768
ISBN978-1-5386-2918-5
KeywordLeast Action Principle Afm Nano-manipulation
Abstract

Atomic force microscopy (AFM) is originally used to observe the sample surface, and then extended to the area of nano-manipulation. It can be quite valuable in the further study of maneuvering nano-particles. Because of the influence of the tip morphology on the tip pushing direction, it is difficult to establish an effective operating model for stably manipulating nanoparticles with controllable manipulation results. To resolve this problem, the acting force of manipulating the nano-particle is analyzed firstly based on the least action principle. Then the influence of the contact point between the nano-particle and the tip is taken into account on the pushing direction, and manipulation of the nano-particle is modeled to predict its position after manipulation. Next, the model parameter is calibrated through several tests. Finally, the proposed model is verified by assembling the nano-structure. The experimental results illustrate that the model can effectively predict the nano-particle position after maneuvering, and can improve the manipulation efficiency.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/21355
Collection机器人学研究室
Corresponding AuthorYuan S(袁帅)
Affiliation1.State Key Lab. Robot., Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Shenyang Jianzhu University, Shenyang 110168, China
3.Graduate University, Chinese Academy of Sciences, Beijing 100039, China
4.Dept.of Advanced Robotics, Chiba Institute of Technology, Chiba 275-0016, Japan
5.Dept.of Industrial and Manufacturing Systems Engineering, Emerging Technologies Institute, University of Hong Kong, Hong Kong
Recommended Citation
GB/T 7714
Yuan S,Liu LQ,Wang ZD,et al. Study of nano-manipulation approach based on the least action principle using AFM based robotic system[C]//Dalian University of Technology, Systems Engineering Society of China (SESC), Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA). Piscataway, NJ, USA:IEEE Computer Society,2017:4424-4429.
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