Rotational nanorobotic manipulation system with increment alignment method for multi-directional defect characterization inside SEM

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publication2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PublisherIEEE
Pages1901-1906
ISBN (Electronic)9781538626825
ISBN (Print)9781538626832
Publication statusPublished - Sep 2017

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2017
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Title2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
LocationVancouver Convention Centre
PlaceCanada
CityVancouver, BC
Period24 - 28 September 2017

Abstract

Scanning electron microscope (SEM) has been widely used for characterization and manipulation in micro/nano field. However, existing SEMs can only provide images for samples from one single direction. This limitation sometimes would lead to misleading results. In order to provide multidirectional SEM imaging, a nanorobotic manipulation system with a rotation robot is designed and integrated with SEM. During the robot's rotation, samples fixed on the robot can be viewed by SEM from multi-direction, instead of one direction. The rotation robot is able to rotate 360° along one rotation axis. To facilitate the multidirectional imaging, an automatic alignment method is put forward. This automatic alignment is to align samples to the rotation robot's rotation axis, so that during rotation, samples wouldn't move out of SEM's field of view (FOV). Alignment results are given to justify the proposed alignment method. Magnetic wires have been observed from multi-direction to demonstrate the nanorobotic manipulation system's potential application in micro/nano defect study.

Citation Format(s)

Rotational nanorobotic manipulation system with increment alignment method for multi-directional defect characterization inside SEM. / Wan, Wenfeng; Lu, Haojian; Shen, Yajing.

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2017. p. 1901-1906 8206008 (IEEE International Conference on Intelligent Robots and Systems; Vol. 2017).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)