• DocumentCode
    338935
  • Title

    Planning of regrasp operations

  • Author

    Stoeter, Sascha A. ; Voss, Stephan ; Papanikolopoulos, Nikolaos P. ; Mosemann, Heiko

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    245
  • Abstract
    Robotic manipulators in contemporary work-cells are often incapable of solving even simple pick-and-place operations. More specifically, most systems require each object to be supplied in the same and pre-defined way. Introducing regrasping to the production cycle relaxes the constraints imposed on supply mechanisms. Regrasping describes the operation that must be performed whenever an object´s pick-up grasp is incompatible with its put-down grasp. The paper presents a novel approach to solve the regrasp problem for robots equipped with parallel-jaw end-effecters. The proposed method first evaluates the object´s possible grasps and placements. These are subsequently combined to form grasp-placement-grasp triples. A regrasp sequence leading from the pick-up to the put-down grasp is generated by searching through the resulting space of compatible grasp-placement-grasp triples. The algorithm takes kinematic and geometric constraints of both the manipulator and the objects into account. Computational concerns are addressed by subdividing the calculation into an off-line and a fast online phase
  • Keywords
    manipulator kinematics; path planning; position control; contemporary work-cells; geometric constraints; grasp-placement-grasp triples; kinematic constraints; parallel-jaw end-effecters; pick-and-place operations; pick-up grasp; production cycle; put-down grasp; regrasp operations; supply mechanisms; Artificial intelligence; Belts; Computer science; Intelligent robots; Laboratories; Manipulators; Path planning; Process control; Production; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.769979
  • Filename
    769979