• DocumentCode
    2337853
  • Title

    VIsion force control in task-oriented grasping and manipulation

  • Author

    Prats, Mario ; Martinet, Philippe ; del Pobil, Angel P. ; Lee, Sukhan

  • Author_Institution
    Sungkyunkwan Univ., Suwon
  • fYear
    2007
  • fDate
    Oct. 29 2007-Nov. 2 2007
  • Firstpage
    1320
  • Lastpage
    1325
  • Abstract
    In this paper, we present a novel approach for sensor-guided robotic execution of everyday tasks, which is amenable to be integrated in current mobile manipulators and humanoid robots. We consider a robot which is observing simultaneously his hand and the object to manipulate, by using an external camera (i.e. robot head). Task-oriented grasping algorithms are used in order to plan a suitable grasp on the object according to the task to perform. A new vision/force coupling approach [1] is used in order to, first, guide the robot hand towards the grasp position and, second, perform the task taking into account external forces. Experimental results on a real robot are presented which validate our approach.
  • Keywords
    force control; humanoid robots; manipulators; mobile robots; robot vision; service robots; force control; mobile manipulator; sensor-guided humanoid robot; task-oriented grasping algorithm; vision control; Cameras; Force control; Grasping; Humanoid robots; Intelligent robots; Manipulators; Mobile robots; Robot sensing systems; Robot vision systems; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-0912-9
  • Electronic_ISBN
    978-1-4244-0912-9
  • Type

    conf

  • DOI
    10.1109/IROS.2007.4399256
  • Filename
    4399256