Trajectory adaptation and learning for ankle rehabilitation using A 3-PRS parallel robot Articles uri icon

publication date

  • August 2015

start page

  • 483

end page

  • 494

volume

  • 9245

International Standard Serial Number (ISSN)

  • 0302-9743

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

abstract

  • This paper presents a methodology for learning and adaptation of a 3-PRS parallel robot skills for ankle rehabilitation. Passive exercises have been designed to train dorsi/plantar flexion, inversion/eversion ankle movements. During exercises, forces may be high because patient cannot follow the desired trajectory. While small errors in the desired trajectory can cause important deviations in the desired forces, pure position control is inappropriate for tasks that require physical contact with the environment. The proposed algorithm takes as input the reference trajectory and force profile, then adapts the robot movement by introducing small offsets to the reference trajectory so that the resulting forces exerted by the patient match the reference profile. The learning procedure is based on Dynamic Movement Primitives (DMPs).

keywords

  • Parallel robots
    Rehabilitation robots
    Force control
    Motion control