Learning Motor Coordination Under Resistive Viscous Force Fields at the Joint Level with an Upper-Limb Robotic Exoskeleton

  • Tommaso Proietti
  • Agnès Roby-Brami
  • Nathanaël Jarrassé
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 15)

Abstract

In the field of rehabilitation robotics, few researchers have been focusing on the problem of controlling motor coordination in post-stroke patients. Studies on coordination learning, when the robotic devices act at the joint level on multiple interaction points, as in the case of exoskeletons, are lacking. For this reason, we studied on 10 healthy subjects the possibility of learning a non-natural inter-joint coordination while performing a pointing task. This coordination was induced by a 4-DOF robotic exoskeleton, applying resistive force fields at the joint level. Preliminary results showed the capability of our controller to modify human healthy natural coordination after exposition to the fields and generalization of these effects to movements which were never exposed to these constraints.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Tommaso Proietti
    • 1
  • Agnès Roby-Brami
    • 1
    • 2
  • Nathanaël Jarrassé
    • 1
  1. 1.Sorbonne Universités, UPMC University Paris 06, CNRS, UMR 7222, Institute of Intelligent Systems and Robotics (ISIR)ParisFrance
  2. 2.Agnès Roby-BramiInstitut National de la Santé et de la Recherche Médicale (INSERM), U1150ParisFrance

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