• DocumentCode
    251366
  • Title

    Intuitive robot tasks with augmented reality and virtual obstacles

  • Author

    Gaschler, Andre ; Springer, Maximilian ; Rickert, Markus ; Knoll, Aaron

  • Author_Institution
    Fortiss GmbH affiliated to Tech. Univ. Munchen, Munich, Germany
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    6026
  • Lastpage
    6031
  • Abstract
    Today´s industrial robots require expert knowledge and are not profitable for small and medium sized enterprises with their small lot sizes. It is our strong belief that more intuitive robot programming in an augmented reality robot work cell can dramatically simplify re-programming and leverage robotics technology in short production cycles. In this paper, we present a novel augmented reality system for defining virtual obstacles, specifying tool positions, and specifying robot tasks. We evaluate the system in a user study and, more specifically, investigate the input of robot end-effector orientations in general.
  • Keywords
    augmented reality; collision avoidance; end effectors; industrial robots; robot programming; augmented reality robot work cell; industrial robot; intuitive robot programming; intuitive robot task; robot end-effector orientation; robotics technology; small-and-medium sized enterprise; virtual obstacle; Collision avoidance; Programming; Robot kinematics; Service robots; Three-dimensional displays; Visualization;
  • 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.2014.6907747
  • Filename
    6907747