SALT LAKE CITY / LONDON (IT BOLTWISE) – Researchers at the University of Utah have developed a bionic hand equipped with artificial intelligence and advanced sensors to enable intuitive and natural gripping ability. This innovation significantly reduces cognitive load for amputees and improves precision and safety when grasping objects.
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The integration of artificial intelligence into the development of bionic hands marks a significant advance in prosthetics. Researchers at the University of Utah have equipped a bionic hand with advanced proximity and pressure sensors, allowing it to grasp objects in a natural and intuitive way. This technology significantly reduces the cognitive burden on amputees because they no longer have to consciously control each finger to ensure a secure grip.
By training an artificial neural network on grasping postures, each finger of the bionic hand can independently “see” objects and automatically move to the correct position. This greatly improves the safety and precision of the grip. Participants in the study were able to perform everyday tasks such as lifting cups and picking up small objects with significantly less mental effort and without extensive training.
The system uses a shared control scheme that combines human intent with machine assistance to avoid conflict and improve skill. This technology enables effortless, lifelike use of the prosthesis by complementing the user’s natural control and making tasks easier.
Researchers also conducted studies with four participants whose amputations were between the elbow and wrist. In addition to improved performance on standardized tasks, they were also able to perform several everyday activities that require fine motor control. These advances are part of the Utah NeuroRobotics Lab’s larger vision to improve the quality of life of amputees.
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