This paper analyzes cause of control errors for 5 DOF exoskeleton upper-limb rehabilitation robot. Based on the method of typical repetitive control, let multiple improved repetitive control loops with filtering parallel embed into closed-loop of control system in order to eliminate motion error of rehabilitation robot with multi-channel periodic input signal. The simulation results show that the effect of system tracking is very well and it has higher stability, tracking control purpose is attained.

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A Bowden cable performance analysis, based on a design of experiments (DoE) is presented for orthosis applications. The need for analysing these cables is based on the construction of IKO (IKerlan’s Orthosis) with five actuated degrees of freedom (DoF) to help the human arm. The aim is for an individual to be capable of lifting weight without any great effort using this exoskeleton, which should be portable and readily dressed (and, therefore, lightweight). In order to transmit the power from the actuators to the joints, Bowden cables are used due to their flexibility and light weight. Transmission performance has been analysed in terms of load loss and cable deformation in order to estimate actuator requirements and positioning accuracy. A test bench has been built to measure the cable deformation and load loss occurring between the two ends of the cable in different situations. This has been applied to cables with two different diameters and at different loads. The variables for which the effect has been analysed are weight, the angle formed by the cable at the point where it leaves the sheath, the cable flexion angle, cable length, cable flexion curvature radius and cable type.

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Eye-tracking systems are playing an increasingly important role in assistive robotics as hand-free interaction interfaces for motor impaired people, but no noticeable applications have been developed so far for enhancing the robotic assisted training in functional rehabilitation. In this paper we propose a new gaze-based control to provide active guidance to the upper limb movement, through a robotic exoskeleton, in the functional rehabilitation of pick and place tasks. Experimental results on healthy subjects demonstrate the feasibility of the proposed approach and the breakthrough that the system introduces in the field of eye-based rehabilitation systems.

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In recent years, robot-assisted rehabilitation systems have been an active research area that can quantitatively monitor and adapt to patient progress, and ensure consistency during rehabilitation. In this work, an exoskeleton type robot-assisted rehabilitation system called RehabRoby is developed. A control architecture, which contains a high level controller and a low level controller, is designed for RehabRoby. Proprioceptive sense of healthy subjects has been evaluated during the execution of a task with RehabRoby. Additionally, usability of RehabRoby has been evaluated using a questionnaire.

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Exoskeletal devices can provide assistance and supplement to the biological musculoskeletal members. We present a wearable robotic exoskeleton conceived as an improved lower leg orthosis for compensation of human knee and ankle joints disorders provoked by muscle weaknesses during walking, introducing novel biomechanical and user acceptance aspects and daily performance monitoring functionalities.

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