• DocumentCode
    3709874
  • Title

    Design of CASIA-ARM: A novel rehabilitation robot for upper limbs

  • Author

    Liang Peng; Zeng-Guang Hou; Long Peng; Weiqun Wang

  • Author_Institution
    The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • fYear
    2015
  • Firstpage
    5611
  • Lastpage
    5616
  • Abstract
    The population of disabled stroke survivors is increasing sharply over the world, and robot-assisted training has been proved to be effective to help motor relearning and alleviate the shortage of physical therapists. This paper presents the design details of a novel upper limb rehabilitation robot named CASIA-ARM, which can assist poststroke patients to perform shoulder and elbow rehabilitation training in the horizontal plane, and provide both force and visual feedback to the patient: 1) A five-bar closed-chain structure is designed to realize a stiff and low-inertial mechanism. Workspace and singularity analysis is given, which guarantees that the workspace is large enough for upper limb moving and no singularity in the workspace. 2) Cable transmission, motor current controller and impedance control method guarantee the transparent and compliant interaction between the human and the robot. 3) Implementation examples of passive training based on position control and active training based on impedance control are presented in detail. 4) In order to evaluate the robot´s applicability and performance, examples of trajectory tracking and active reaching tasks are used in this study, and the preliminary test results are also given (tracking error: 0.86±0:42 mm, force control error: 1.41±0.79 N in the X direction, and 1.22±0.91 N in the Y direction).
  • Keywords
    "Robots","Training","DC motors","Brakes","Force","Hysteresis motors","Resistance"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on
  • Type

    conf

  • DOI
    10.1109/IROS.2015.7354173
  • Filename
    7354173