• DocumentCode
    737657
  • Title

    Automated Robotic Manipulation of Individual Colloidal Particles Using Vision-Based Control

  • Author

    Zimmermann, Soren ; Tiemerding, Tobias ; Fatikow, Sergej

  • Author_Institution
    Div. Microrobotics & Control Eng., Univ. of Oldenburg, Oldenburg, Germany
  • Volume
    20
  • Issue
    5
  • fYear
    2015
  • Firstpage
    2031
  • Lastpage
    2038
  • Abstract
    Automated manipulation of micro- and nanosized objects using robotic setups constitutes a major challenge due to the force-scaling laws and the limited control possibilities on that scale. This paper presents a new developed approach for automated manipulation of individual colloidal particles using a dedicated dual-probe setup inside a scanning electron microscope. Based on tailored probe geometries, the setup allows for reliable pick-up and release sequences of individual particles. Applying image processing of the visual feedback provided by the microscope enables for direct and fast control of the complex manipulation routines and thus allows for fully automated alignment sequences. Experimental results reveal a high repeatability of the process with hitherto unrivaled precision. The advantages and limits of this technique are highlighted with respect to further application scenarios.
  • Keywords
    industrial manipulators; materials handling; robot vision; scanning electron microscopy; automated robotic manipulation; colloidal particles; force-scaling laws; image processing; microsized object manipulation; nanosized object manipulation; particle pick-up sequence; particle release sequence; scanning electron microscope; tailored probe geometries; vision-based control; visual feedback; Automation; End effectors; Grippers; Scanning electron microscopy; Sensors; Substrates; Automation; nanotechnology; robot sensing systems; robot vision systems;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/TMECH.2014.2361271
  • Filename
    6930820