• DocumentCode
    2018953
  • Title

    Markerless gesture-based motion control and programming of industrial robots

  • Author

    Lambrecht, Jens ; Kleinsorge, Martin ; Krüger, Jörg

  • Author_Institution
    Dept. for Ind. Autom. Technol., Tech. Univ. Berlin, Berlin, Germany
  • fYear
    2011
  • fDate
    5-9 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Gesture-based control systems for industrial robotics benefit from a natural form of human machine interaction. Among the high costs of such systems, there are high requirements for safety, robustness of the gesture recognition and general applicability in the industrial environment. Novel consumer electronic sensors provide a robust recognition, reliability and adequate accuracies at low costs. We present our work on gesture-based control and programming with an emphasis on a natural definition of complex trajectories. Besides standard online programming methods, we introduce a programming technique, which enables the worker to define a movement by his body parts, e.g. the hand. Imitating the human movement, the robot can move its end-effector relatively from a starting point.
  • Keywords
    control engineering computing; end effectors; gesture recognition; human-robot interaction; industrial manipulators; robot programming; sensors; body parts; complex trajectories; consumer electronic sensors; end-effector; gesture recognition; human machine interaction; human movement; industrial robotics; markerless gesture-based motion control; online programming methods; reliability accuracies; Programming; Robot sensing systems; Service robots; Tracking; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4577-0017-0
  • Electronic_ISBN
    1946-0740
  • Type

    conf

  • DOI
    10.1109/ETFA.2011.6059226
  • Filename
    6059226