Adaptive Real-time Neuromorphic Non-invasive Prostheses and Anthropomorphic Robotics
Prostheses/Neuro-prostheses can significantly improve the quality of life of people with neurological disabilities. These devices are becoming widespread therapeutic solutions (i.e., Parkinson's disease, retinal implants, walking rehabilitation, restoration of sensory feedback in limb prostheses, breast engorgement or palpation, etc.). However, unlike living agents that combine different sensory inputs to perform a complex task accurately, most prosthetics and anthropomorphic robotics arms use uni-sensory input, which affects their accuracy. Yet, they are power-hungry devices due to their controlling methods. Therefore, understanding the richness of the sensorimotor functions of the prosthesis hand and their adaptivity remains one of the challenges in modern science and engineering. This project investigates an advanced real-time and power-efficient neuromorphic prosthesis hand, AIzuHand, with sensorimotor integration and feedback sensing. We aim to develop solutions for controlling prosthetic limbs to restore movement to people with neurologic impairment and amputation.
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