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Conference Paper: Enhancing Environmental Sensing Capability of AFM-based Nanorobot Via Spiral Local Scan Strategy

TitleEnhancing Environmental Sensing Capability of AFM-based Nanorobot Via Spiral Local Scan Strategy
Authors
Issue Date2019
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000487
Citation
2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO), Macao, China, 22-26 July 2019, p. 141-146 How to Cite?
AbstractAtomic force microscopy (AFM) based nanorobotic technology has been widely implemented in light of the overwhelming advantages, such as nanometer spatial resolution, adaptability to various ambient, and numerous advanced measurement approaches. It is noted that even though the AFM possesses nanometer imaging resolution, it is hard to achieve nanometer tip locating precision due to complicated uncertainties, especially the nonlinearity of tip-environment interaction and the random drift influence. Since an AFM image is typically utilized as a map for nanomanipulation, the uncertainty distorted image will definitely introduce location deviation between the real and the captured nano-world, which typically leads to low efficiency or even failure of tasks. Besides, complicated tip-environment interaction is generally hard to model and to make accurate prediction, which will also lead to task failure. Therefore, to achieve highly accurate operation at the nanoscale, environmental sensing capability of AFM-based nanorobot should be promoted. In this paper, we propose a local environment sensing approach to detect positioning uncertainty between nanorobot tip and its surroundings by developing a multi-functional spiral local scan (MSLS) strategy comprised of structured objects location detection function and local surroundings imaging function. Briefly, sphere/cylinder-like object location detection strategies were proposed; a tip motion predictor was developed to tackle the heavy noise issue of detection tasks at dozens of nanometers scale, based on which a local area imaging approach was established. Efficiency of the MSLS method was verified through experimental study.
Persistent Identifierhttp://hdl.handle.net/10722/282985
ISBN

 

DC FieldValueLanguage
dc.contributor.authorSun, Z-
dc.contributor.authorXi, N-
dc.contributor.authorYu, H-
dc.contributor.authorXue, Y-
dc.contributor.authorBi, S-
dc.contributor.authorChen, L-
dc.date.accessioned2020-06-05T06:23:46Z-
dc.date.available2020-06-05T06:23:46Z-
dc.date.issued2019-
dc.identifier.citation2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO), Macao, China, 22-26 July 2019, p. 141-146-
dc.identifier.isbn978-1-7281-2893-1-
dc.identifier.urihttp://hdl.handle.net/10722/282985-
dc.description.abstractAtomic force microscopy (AFM) based nanorobotic technology has been widely implemented in light of the overwhelming advantages, such as nanometer spatial resolution, adaptability to various ambient, and numerous advanced measurement approaches. It is noted that even though the AFM possesses nanometer imaging resolution, it is hard to achieve nanometer tip locating precision due to complicated uncertainties, especially the nonlinearity of tip-environment interaction and the random drift influence. Since an AFM image is typically utilized as a map for nanomanipulation, the uncertainty distorted image will definitely introduce location deviation between the real and the captured nano-world, which typically leads to low efficiency or even failure of tasks. Besides, complicated tip-environment interaction is generally hard to model and to make accurate prediction, which will also lead to task failure. Therefore, to achieve highly accurate operation at the nanoscale, environmental sensing capability of AFM-based nanorobot should be promoted. In this paper, we propose a local environment sensing approach to detect positioning uncertainty between nanorobot tip and its surroundings by developing a multi-functional spiral local scan (MSLS) strategy comprised of structured objects location detection function and local surroundings imaging function. Briefly, sphere/cylinder-like object location detection strategies were proposed; a tip motion predictor was developed to tackle the heavy noise issue of detection tasks at dozens of nanometers scale, based on which a local area imaging approach was established. Efficiency of the MSLS method was verified through experimental study.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000487-
dc.relation.ispartofIEEE International Conference on Nanotechnology (IEEE-NANO)-
dc.rightsIEEE International Conference on Nanotechnology (IEEE-NANO). Copyright © IEEE.-
dc.rights©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleEnhancing Environmental Sensing Capability of AFM-based Nanorobot Via Spiral Local Scan Strategy-
dc.typeConference_Paper-
dc.identifier.emailXi, N: xining@hku.hk-
dc.identifier.emailBi, S: shengbi@hku.hk-
dc.identifier.authorityXi, N=rp02044-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/NANO46743.2019.8993878-
dc.identifier.scopuseid_2-s2.0-85081065888-
dc.identifier.hkuros310085-
dc.identifier.spage141-
dc.identifier.epage146-
dc.publisher.placeUnited States-

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