DocumentCode
2021798
Title
Micropart feature design for visually servoed microassembly
Author
Mukundakrishnan, Bharath ; Nelson, Bradley J.
Author_Institution
Dept. of Mech. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
965
Abstract
This project develops rules for micropart design to aid in device assemblability with visual servoing techniques by ensuring that the microparts can be easily tracked and controlled using vision feedback. A criterion is presented that estimates part trackability based on the visual appearance of the part. This criterion is then used to microfabricate features to improve part trackability and hence, the assemblability of the device. The criterion considers the feature appearance when the part lies out of the optical system´s depth-of-field. A Fourier optics based approach is used to simulate the visual appearance of microparts represented by CAD models using high resolution optical systems. This simulation is used to automatically design microfabricated features on microparts. These features are used to estimate the tracking accuracy of the MEMS parts to subpixel levels using interpolation techniques in optical flow based tracking. This allows MEMS parts to be assembled with a precision on the order of 20 nm with high magnification lens, using visual servoing strategies
Keywords
Fourier transform optics; computer vision; design for manufacture; interpolation; microassembling; micromechanical devices; optical microscopes; optical tracking; servomechanisms; 20 nm; Fourier optics; MEMS; assemblability; feature appearance; interpolation; microassembly; micropart design; part trackability; vision feedback; visual servoing; Assembly; Lenses; Microassembly; Microelectromechanical devices; Micromechanical devices; Optical feedback; Optical sensors; Thermal expansion; Thermal sensors; Visual servoing;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1050-4729
Print_ISBN
0-7803-5886-4
Type
conf
DOI
10.1109/ROBOT.2000.844173
Filename
844173
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