Stiffness-based tuning of an adaptive impedance controller for robot-assisted rehabilitation of upper limbs

In this paper, the tuning procedure of an adaptive impedance control approach, for upper limb rehabilitation therapies assisted by robots, is presented. The main feature of the proposed approach is a custom tuning of the impedance parameters for the controller, based on the stiffness estimation of users (patients), thus achieving a suitable robot-assisted rehabilitation system according with the different conditions of user%27s mobility. A set of simulation results are presented, in order to verify the suitable performance of the proposed approach in human-robot interaction tasks. © 2015 IEEE.
In this paper, the tuning procedure of an adaptive impedance control approach, for upper limb rehabilitation therapies assisted by robots, is presented. The main feature of the proposed approach is a custom tuning of the impedance parameters for the controller, based on the stiffness estimation of users (patients), thus achieving a suitable robot-assisted rehabilitation system according with the different conditions of user's mobility. A set of simulation results are presented, in order to verify the suitable performance of the proposed approach in human-robot interaction tasks. © 2015 IEEE.

algorithm; arm; human; impedance; machine learning; pathophysiology; Psychomotor Disorders; robotics; Algorithms; Arm; Electric Impedance; Humans; Machine Learning; Psychomotor Disorders; Robotics

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