• DocumentCode
    2137670
  • Title

    Torque optimization for a 7DOF upper-limb power-assist exoskeleton robot

  • Author

    Hayashi, Yoshiaki ; Dubey, Rajiv ; Kiguchi, Kazuo

  • Author_Institution
    Dept. Adv. Technol. Fusion, Saga Univ., Saga, Japan
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    Many kinds of power-assist robots have been developed in order to assist daily life motions of the elderly or physically weak persons. A human upper-limb has 7 degrees of freedom to achieve various tasks dexterously. Therefore, to assist all upper-limb joint motions of a human, the upper-limb power-assist robot is required to have 7DOF. On the other hand, to achieve a desired task, a person moves own hand to the desired position and orientation. For this reason, the hand position or hand force must be focused to be controlled by the upper-limb power-assist robots. However, the hand position or hand force is 6-dimensional vector, so the 7DOF upper-limb power-assist robot has a redundancy and in general, a pseudo-inverse matrix is used in the control. In this paper, the torque optimization for an upper-limb power-assist exoskeleton robot using the pseudo-inverse matrix is discussed. The effectiveness of the proposed method was evaluated by the experiments.
  • Keywords
    biomechanics; geriatrics; handicapped aids; inverse problems; medical robotics; optimisation; patient rehabilitation; prosthetics; robot dynamics; torque control; 6-dimensional vector; elderly; hand force; physical rehabilitation; power-assist robots; pseudoinverse matrix; robot degrees-of-freedom; torque optimization; upper-limb power-assist exoskeleton robot; Electromyography; Force; Joints; Robot sensing systems; Shoulder; Torque; optimization; power-assist; pseudo-inverse matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotic Intelligence In Informationally Structured Space (RiiSS), 2011 IEEE Workshop on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-9885-7
  • Type

    conf

  • DOI
    10.1109/RIISS.2011.5945786
  • Filename
    5945786