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University of Utah researchers created an AI bionic hand that adjusts grip automatically, improving control and reducing mental effort for amputees.
Researchers at the University of Utah have developed an AI-powered bionic hand that uses sensors and machine learning to autonomously adjust grip, improving dexterity and reducing mental effort for amputees.
The prosthetic, based on a TASKA model, features fingertips with pressure and optical sensors that detect objects before contact, enabling natural, intuitive grasping without conscious control.
In trials with four amputees, the device significantly improved task performance and reduced cognitive load, addressing a major reason users abandon prosthetics.
The team plans to integrate brain-computer interfaces to enable thought-controlled movement and restore sensory feedback, aiming to make prosthetics feel like natural extensions of the body.
Investigadores de la Universidad de Utah crearon una mano biónica de IA que ajusta el agarre automáticamente, mejorando el control y reduciendo el esfuerzo mental para los amputados.