• DocumentCode
    249654
  • Title

    Adaptive assist-as-needed controller to improve gait symmetry in robot-assisted gait training

  • Author

    Zanotto, Damiano ; Stegall, Paul ; Agrawal, Sunil K.

  • Author_Institution
    Robot. & Rehabilitation (ROAR) Lab., Columbia Univ., New York, NY, USA
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    724
  • Lastpage
    729
  • Abstract
    This paper introduces the overall design of ALEX III, the third generation of Active Leg Exoskeletons developed by our group. ALEX III is the first treadmill-based rehabilitation robot featuring 12 actively controlled degrees of freedom (DOF): 4 at the pelvis and 4 at each leg. As a first application of the device, we present an adaptive controller aimed to improve gait symmetry in hemiparetic subjects. The controller continuously modulates the assistive force applied to the impaired leg, based on the outputs of kernel-based non-linear filters, which learn the movements of the healthy leg. To test the effectiveness of the controller, we induced asymmetry in the gait of three young healthy subjects adding ankle weights (2.3kg). Results on kinematic data showed that gait symmetry was recovered when the controller was active.
  • Keywords
    adaptive control; human-robot interaction; legged locomotion; nonlinear filters; ALEX III; active leg exoskeletons; adaptive assist-as-needed controller; adaptive controller; assistive force; gait symmetry; impaired leg; nonlinear filters; robot assisted gait training; treadmill based rehabilitation robot; Foot; Force; Hip; Joints; Knee; Legged locomotion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6906934
  • Filename
    6906934