• DocumentCode
    2239330
  • Title

    Simplified generation algorithm of regrasping motion - performance comparison online-searching approach with EP-based approach

  • Author

    Hasegawa, Yasuhisa ; Higashiura, Masaki ; Fukuda, Toshio

  • Author_Institution
    Dept. of Micro Syst. Eng., Nagoya Univ., Japan
  • Volume
    2
  • fYear
    2003
  • fDate
    14-19 Sept. 2003
  • Firstpage
    1811
  • Abstract
    This paper proposes a simplified generation method of regrasping motion. The regrasping motion is designed by evolutional programming (EP) in our conventional study and the obtained regrasping behavior should be adjusted according to some conditions; initial posture and dimensions of a grasping object. However, the designing process of the regrasping motion is off-line because it takes several minutes to find the optimal regrasping strategy by EP. In this paper, we therefore simplified the searching process for regrasping motion in order to apply it in the realtime process. Besides, this simplified generation method is enable to achieve a regrasping motion from arbitrary initial posture because there is no strategy that is previously designed. We show its effectiveness of the simplified generation method with numerical simulations, comparing the performance of the EP-based approach.
  • Keywords
    control system CAD; dexterous manipulators; evolutionary computation; real-time systems; search problems; EP based approach; evolutional programming; grasping object; multifingered robot hand; off-line designing process; online searching; optimal regrasping strategy; real time process; regrasping motion; searching process; simplified generation algorithm; Fingers; Genetics; Grasping; Optimization methods; Process design; Robotics and automation; Robots; Robust control; Solids; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-7736-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.2003.1241858
  • Filename
    1241858