• 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