NDLI: Set-based direct visual servoing for nanopositioning

Content Provider	IEEE Xplore Digital Library
Author	Zhichao Liu Jianliang Wang Poh Eng Kee
Copyright Year	2015
Description	Author affiliation: Div. of Control & Instrum., Nanyang Technol. Univ., Singapore, Singapore (Zhichao Liu; Jianliang Wang; Poh Eng Kee)
Abstract	Atomic force microscopy (AFM) can be used as an image tool in nanoscale for nanopositioning and other similar works. This problem can be seen as a visual servoing problem. Traditional works for this problem use position-based algorithms, however, the correspondence problem is needed to be solved by feature matching and tracking firstly, as a prerequisite for vision-based control. The correspondence problem refers to the problem of ascertaining which parts of one image correspond to which parts of another image. To solve the problem of AFM based nanomanipulations, we present a novel set-based direct visual servoing controller (SDVSC) for nanopositioning that is based on the whole gray image and does not require feature matching and tracking.
Starting Page	772
Ending Page	776
File Size	224433
Page Count	5
File Format	PDF
ISBN	9781479999361
DOI	10.1109/MED.2015.7158839
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-16
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atomic force microscopy space of sets Shape Nanopositioning Aerospace electronics mutational analysis for shapes Cameras Nanopositionging visual servoing Visual servoing Lyapunov methods
Content Type	Text
Resource Type	Article

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