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A Utah team developed an AI bionic hand that predicts users' movements, enabling smoother, more natural control for amputees.
A University of Utah team has created an AI-powered bionic hand that helps amputees control it more naturally by anticipating their intentions using muscle signals, proximity, and pressure sensors.
In a study with four participants, the device enabled reliable, fluid movements—like grasping a cup—without dropping or crushing objects, unlike traditional prosthetics.
The AI handles subconscious adjustments, reducing mental effort and making the hand feel more like a natural extension of the body.
Published in Nature Communications, the findings represent a major step toward more intuitive, user-friendly prosthetics that could improve long-term use and quality of life.
Un equipo de Utah desarrolló una mano biónica con inteligencia artificial que predice los movimientos de los usuarios, permitiendo un control más suave y natural para los amputados.