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An adaptive robot control strategy combining PID-based feedback and Iterative Learning Controller (ILC) is proposed for performing passive reaching tasks for RUPERTtrade (Robotic Upper Extremity Repetitive Therapy), a pneumatic muscle driven rehabilitation robotic device. Additionally, a fuzzy rule-base is used to estimate the ILC learning rate to achieve an optimized learning. The preliminary test...
The structural design, control system, and integrated biofeedback for a wearable exoskeletal robot for upper extremity stroke rehabilitation are presented. Assisted with clinical evaluation, designers, engineers, and scientists have built a device for robotic assisted upper extremity repetitive therapy (RUPERT). Intense, repetitive physical rehabilitation has been shown to be beneficial overcoming...
We report the development and initial evaluation of a device for robotic assisted upper extremity repetitive therapy (RUPERTtrade). Intense repetitive physical therapies provided by individualized interaction between the patient and a rehabilitation specialist to overcome upper extremity impairment after stroke are beneficial, however, they are expensive and difficult to evaluate quantitatively and...
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