• DocumentCode
    2091482
  • Title

    Gentle robotic handling - adaptation of gripperorientation to minimize undesired shear forces

  • Author

    Chen, Suei Jen ; Wörn, Heinz ; Zimmermann, Uwe E. ; Bischoff, Rainer

  • Author_Institution
    Inst. for Process Control & Robotics, Karlsruhe Univ.
  • fYear
    2006
  • fDate
    15-19 May 2006
  • Firstpage
    309
  • Lastpage
    314
  • Abstract
    Today´s palletizing and handling robots move their payloads on trajectories that are neither optimized for minimal grasping forces nor for careful object handling. Problems arise with vacuum grippers that can only exert normal forces on payloads. During high-speed transfers undesired shear forces and torques appear that may well lead to the loss of grasped objects and consequently to a production stop and damage to both the object and the environment. A related problem is concerned with handling goods that need special care, such as liquids that should not spill over during transport, or bakery goods on a tray that should not be scrambled and dislocated before being moved into an oven. To be able to handle objects with care but nevertheless with maximum velocity, a new simple and effective methodology based on the adaptation of the gripper orientation is proposed. It leads to robot trajectories (in particular gripper orientations) that minimize shear forces and torques on grasped objects and thus allows gentle robotic handling processes. The methodology is presented as well as simulation and experimental results
  • Keywords
    force control; industrial manipulators; materials handling; force control; gentle robotic handling; gripper-orientation; palletizing; undesired shear forces; vacuum grippers; Acceleration; Containers; Glass; Grippers; Motion control; Payloads; Production; Robotic assembly; Robots; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-9505-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.2006.1641729
  • Filename
    1641729