• DocumentCode
    2379193
  • Title

    Object inherent dynamics based motion control in human-robot cooperative task system

  • Author

    Tsumugiwa, Toru ; Yokogawa, Ryuichi

  • Author_Institution
    Dept. of Biomed. Eng., Doshisha Univ., Kyoto, Japan
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    3377
  • Lastpage
    3382
  • Abstract
    In this paper we address a robot motion control scheme for a human-robot cooperative task. From the viewpoint of improving the operative efficiency of the cooperative task, we designed a novel robot control system, in which inherent dynamics of the target task and the object is conserved. The proposed control scheme differs widely from an ordinary impedance control scheme in that the inherent dynamics of the target task and the object is substituted by impedance characteristics. Under the proposed control scheme, the dynamics of the target task and that of the robot motion are uncoupled and independent. The proposed control system enables the human operator to carry out the cooperative task intuitively by only considering the inherent dynamics of the target task and the object. To confirm the effectiveness of the proposed control system, an experiment base on a peg insertion task involving human-robot cooperation is carried out. The experimental results show that the proposed control scheme is effective for cooperative tasks requiring precision.
  • Keywords
    control system synthesis; human-robot interaction; mobile robots; motion control; robot dynamics; human-robot cooperative task system; impedance control scheme; object inherent dynamics; robot control system design; robot motion control; Admittance; Biomedical engineering; Control systems; Humans; Impedance; Motion control; Robot control; Robot motion; Robotic assembly; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152321
  • Filename
    5152321