Study of nano-manipulation approach based on the least action principle using AFM based robotic system
文献类型:会议论文
作者 | Yuan S(袁帅); Liu LQ(刘连庆)![]() ![]() |
出版日期 | 2017 |
会议日期 | July 26-28, 2017 |
会议地点 | Dalian, China |
关键词 | Least Action Principle Afm Nano-manipulation |
页码 | 4424-4429 |
英文摘要 | 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. |
源文献作者 | Dalian University of Technology ; Systems Engineering Society of China (SESC) ; Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA) |
产权排序 | 1 |
会议录 | Proceedings of the 36th Chinese Control Conference, CCC 2017
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会议录出版者 | IEEE Computer Society |
会议录出版地 | Piscataway, NJ, USA |
语种 | 英语 |
ISSN号 | 1934-1768 |
ISBN号 | 978-1-5386-2918-5 |
WOS记录号 | WOS:000432014405004 |
源URL | [http://ir.sia.cn/handle/173321/21355] ![]() |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Yuan S(袁帅) |
作者单位 | 1.Shenyang Jianzhu University, Shenyang 110168, China 2.Dept.of Industrial and Manufacturing Systems Engineering, Emerging Technologies Institute, University of Hong Kong, Hong Kong 3.State Key Lab. Robot., Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 4.Graduate University, Chinese Academy of Sciences, Beijing 100039, China 5.Dept.of Advanced Robotics, Chiba Institute of Technology, Chiba 275-0016, Japan |
推荐引用方式 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]. 见:. Dalian, China. July 26-28, 2017. |
入库方式: OAI收割
来源:沈阳自动化研究所
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