• DocumentCode
    3088011
  • Title

    Positioning mobile manipulators to perform constrained linear trajectories

  • Author

    Zacharias, Franziska ; Borst, Christoph ; Beetz, Michael ; Hirzinger, Gerd

  • Author_Institution
    Inst. of Robot. & Mechatron., German Aerosp. Centre, Wessling
  • fYear
    2008
  • fDate
    22-26 Sept. 2008
  • Firstpage
    2578
  • Lastpage
    2584
  • Abstract
    For mobile manipulators envisioned in home environments a kitchen scenario provides a challenging testbed for numerous skills. Diverse manipulation actions are required, e.g. simple pick and place for moving objects and constrained motions for opening doors and drawers. The robot kinematics and link limits however are restrictive. Therefore especially a constrained trajectory will not be executable from arbitrary placements of the mobile manipulator. A two stage approach is presented to position a mobile manipulator to execute constrained linear trajectories as needed for opening drawers. In a first stage, a representation of a robot armpsilas reachable workspace is computed. Pattern recognition techniques are used to find regions in the workspace representation where these trajectories are possible. A set of trajectories results. In the second stage mobile manipulator placements are computed and the corresponding trajectories are checked for collisions. Compared to a brute force search through the workspace, the success rate of finding a mobile manipulator placement can be increased from 2% to 70%.
  • Keywords
    home automation; linear systems; manipulators; mobile robots; path planning; pattern recognition; position control; constrained linear trajectories; home environments; kitchen scenario; mobile manipulators; pattern recognition; positioning; Grippers; Kinematics; Manipulators; Mobile communication; Robot kinematics; Robots; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-2057-5
  • Type

    conf

  • DOI
    10.1109/IROS.2008.4650617
  • Filename
    4650617