Path Planning and Design for AFM based Nano-manipulation using Probability Distribution

被引：0

作者：

Yuan, Shuai ^{[1
,2
]}

Liu, Lianqing ^{[1
]}

Wang, Zhidong ^{[1
,3
]}

Xing, Jingyi ^{[2
]}

Xi, Ning ^{[1
,4
]}

Wang, Yuechao ^{[1
]}

机构：

[1] Chinese Acad Sci, SIA, State Key Lab Robot, Shenyang 110016, Liaoning, Peoples R China

[2] Shenyang Jianzhu Univ, Shenyang I10168, Liaoning, Peoples R China

[3] Chiba Inst Technol, Dept Adv Robot, Chiba 2750016, Japan

[4] City Univ Hong Kong, Dept Mech & Biomed Engn, Hong Kong, Hong Kong, Peoples R China

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS) | 2017年

关键词：

AFM Trajectory planning; Nanomanipulation; ant colony optimization; Dijkstra's Algorithm; NANOMANIPULATIONS; LOCALIZATION;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In AFM nanomanipulation, the uncertainty of tip position in the task space can lead to inefficient nanomanipulation. To resolve this problem, the paper proposes a method which uses the local scan to obtain the observation distance. Then the landmark adjacency matrix is established for designing the observed landmarks. Next, colony optimization and Dijkstra's Algorithm are used to plan the tip trajectory, which reduces the cost greatly. Finally, the experiment results illustrate that the proposed algorithm can perform effective nano-manipulation.

引用

页码：188 / 193

页数：6

共 15 条

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