Carlo Preziuso

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About

Carlo Preziuso is a leading researcher in the field of prosthetic technology and human-machine interaction, with a primary focus on advancing closed-loop control systems for upper-limb prosthetics. His most notable contribution is the development of **LimbMATE**, a versatile research platform designed to bridge the gap between machine learning algorithms and real-world prosthetic applications. This platform enables robust, real-time myoelectric pattern recognition, allowing users to intuitively control multi-functional robotic hands. Preziuso’s work addresses the critical challenge of translating rapid advances in machine learning into practical, user-friendly prosthetic devices, thereby enhancing the dexterity and responsiveness of artificial limbs. While his research is still emerging, with his seminal 2025 paper already garnering early citations, his contributions are poised to significantly impact the field of assistive technology. By providing an open, adaptable framework for closed-loop experimentation, Preziuso is empowering fellow researchers to accelerate innovation in neural-machine interfaces, ultimately aiming to restore natural movement and independence for individuals with limb loss.