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- Publisher Website: 10.1109/CBS.2017.8266095
- Scopus: eid_2-s2.0-85050512015
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Conference Paper: Path planning and design for AFM based nano-manipulation using probability distribution
Title | Path planning and design for AFM based nano-manipulation using probability distribution |
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Authors | |
Keywords | AFM ant colony optimization Dijkstra's Algorithm Nanomanipulation Trajectory planning |
Issue Date | 2017 |
Publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=8266055 |
Citation | Proceedings of 2017 IEEE International Conference on Cyborg and Bionic Systems (CBS), Beijing, China, 17-19 October 2017, p. 188-193 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/261965 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Yuan, S | - |
dc.contributor.author | Liu, L | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Xing, J | - |
dc.contributor.author | Xi, N | - |
dc.contributor.author | Wang, Y | - |
dc.date.accessioned | 2018-09-28T04:51:04Z | - |
dc.date.available | 2018-09-28T04:51:04Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Proceedings of 2017 IEEE International Conference on Cyborg and Bionic Systems (CBS), Beijing, China, 17-19 October 2017, p. 188-193 | - |
dc.identifier.isbn | 9781538631942 | - |
dc.identifier.uri | http://hdl.handle.net/10722/261965 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=8266055 | - |
dc.relation.ispartof | IEEE International Conference on Cyborg and Bionic Systems (CBS) | - |
dc.rights | IEEE International Conference on Cyborg and Bionic Systems (CBS). Copyright © IEEE. | - |
dc.subject | AFM | - |
dc.subject | ant colony optimization | - |
dc.subject | Dijkstra's Algorithm | - |
dc.subject | Nanomanipulation | - |
dc.subject | Trajectory planning | - |
dc.title | Path planning and design for AFM based nano-manipulation using probability distribution | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Xi, N: xining@hku.hk | - |
dc.identifier.authority | Xi, N=rp02044 | - |
dc.identifier.doi | 10.1109/CBS.2017.8266095 | - |
dc.identifier.scopus | eid_2-s2.0-85050512015 | - |
dc.identifier.hkuros | 292768 | - |
dc.identifier.spage | 188 | - |
dc.identifier.epage | 193 | - |
dc.publisher.place | United States | - |