DocumentCode :
251118
Title :
Automated robotic assembly for a micro-cartridge system inside the scanning electron microscope
Author :
Bartenwerfer, Malte ; Diederichs, Claas ; Fatikow, Sergej
Author_Institution :
Dept. of Comput. Sci., Univ. of Oldenburg, Oldenburg, Germany
fYear :
2014
fDate :
May 31 2014-June 7 2014
Firstpage :
5197
Lastpage :
5202
Abstract :
The AFM is a common tool for ultra-precise surface characterization and a standard instrument a variety of research and development disciplines. However, the characterization of three dimensional high-aspect ratio and sidewall structures remains a hardly accomplishable task. Novel exchangeable and customizable scanning probe tips - NanoBits - can be attached to standard AFM cantilevers offering unprecedented freedom in adapting the shape and size of the tips. These NanoBits of few μm size have to be assembled into micro-cartridges. This challenging assembly task is performed inside the SEM by a micro-gripper. A powerful automation framework has been developed facilitating image based automation and visual servoing for this task. Template matching, BLOB-detection, and special SEM-based detection approaches are used to achieve the automated assembly.
Keywords :
assembling; cantilevers; grippers; industrial robots; micromanipulators; scanning electron microscopes; 3D high-aspect ratio; AFM cantilevers; BLOB-detection; NanoBits; automated assembly; automated robotic assembly; customizable scanning probe tips; image based automation; microcartridge system; microgripper; scanning electron microscope; sidewall structures; special SEM-based detection approaches; standard instrument; template matching; ultra-precise surface characterization; visual servoing; Assembly; Automation; Cavity resonators; Gray-scale; Grippers; Robots; Scanning electron microscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/ICRA.2014.6907622
Filename :
6907622
Link To Document :
بازگشت