• DocumentCode
    1986270
  • Title

    Optimal design of an alignment-free two-DOF rehabilitation robot for the shoulder complex

  • Author

    Galinski, Daniel ; Sapin, Julien ; Dehez, Bruno

  • Author_Institution
    Center for Res. in Mechatron., Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents the optimal design of an alignment-free exoskeleton for the rehabilitation of the shoulder complex. This robot structure is constituted of two actuated joints and is linked to the arm through passive degrees of freedom (DOFs) to drive the flexion-extension and abduction-adduction movements of the upper arm. The optimal design of this structure is performed through two steps. The first step is a multi-objective optimization process aiming to find the best parameters characterizing the robot and its position relative to the patient. The second step is a comparison process aiming to select the best solution from the optimization results on the basis of several criteria related to practical considerations. The optimal design process leads to a solution outperforming an existing solution on aspects as kinematics or ergonomics while being more simple.
  • Keywords
    genetic algorithms; medical robotics; patient rehabilitation; DOFs; abduction-adduction movements; actuated joints; alignment-free exoskeleton; ergonomics; flexion-extension movements; genetic algorithm; kinematics; multiobjective optimization process; optimal alignment-free two-DOF rehabilitation robot design; passive degrees of freedom; shoulder complex rehabilitation; upper arm; Exoskeletons; Joints; Kinematics; Linear programming; Optimization; Robots; Shoulder; Exoskeleton; alignment-free; design; genetic algorithm; optimization; rehabilitation; robot; self-aligning; shoulder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1945-7898
  • Print_ISBN
    978-1-4673-6022-7
  • Type

    conf

  • DOI
    10.1109/ICORR.2013.6650502
  • Filename
    6650502