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A stochastic state prediction in AFM based nanomanipulation
Wang ZY(王智宇); Liu LQ(刘连庆); Wang ZD(王志东); Dong ZL(董再励); Yuan S(袁帅); Hou J(侯静)
Department机器人学研究室
Conference Name2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
Conference DateAugust 5-8, 2012
Conference PlaceChengdu, China
Author of SourceIEEE Robotics and Automation Society; Harbin Institute of Technology; Kagawa University
Source Publication2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC, United States
2012
Pages1335-1340
Indexed ByEI
EI Accession number20124315597821
Contribution Rank1
ISBN978-1-4673-1277-6
KeywordMicromanipulators Nanoparticles Nanotechnology Stochastic Systems
AbstractThe reliability of AFM based nanomanipulation is one of the prerequisites for nano fabricating, thus uncertainties of the target nano-particle position need to be controlled within a pointed limits, which lead to two problem to be solved: one is how to describe state uncertainties at every different sample times; the other is how to deduce the next state uncertainty according to the current one. This paper provides a method to construct a stochastic predictive model to covering those problems. In the concrete, the predictive model uses Gaussian and Beta distribution as well as Mont Carlo Method to describe and deduce the state uncertainties respectively. The method is also applied to the process of pushing a nano-particle using AFM. 
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10102
Collection机器人学研究室
Corresponding AuthorWang ZY(王智宇)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, 110016, China
2.Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, 125105, China
3.Dept. of Advanced Robotics, Chiba Institute of Technology, Chiba, Japan
4.Graduate School, Chinese Academy of Sciences, Beijing, 100001, China
Recommended Citation
GB/T 7714
Wang ZY,Liu LQ,Wang ZD,et al. A stochastic state prediction in AFM based nanomanipulation[C]//IEEE Robotics and Automation Society; Harbin Institute of Technology; Kagawa University. Washington, DC, United States:IEEE Computer Society,2012:1335-1340.
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