Johns Hopkins University engineers have unveiled a groundbreaking prosthetic hand that emulates human grasping capabilities. This hybrid design incorporates a multifinger system comprised of rubberlike polymers and a rigid 3D-printed skeleton, allowing it to adaptively grip various everyday items without causing damage. The device also utilizes machine learning and advanced tactile sensors, inspired by human skin, to provide a nuanced sense of touch. This advancement aims to significantly improve life for individuals with upper-limb loss, allowing safer interactions with their environment and loved ones.
The goal from the beginning has been to create a prosthetic hand that we model based on the human hand's physical and sensing capabilities.
Its three layers of tactile sensors, inspired by the layers of human skin, allow it to grasp and distinguish objects of various shapes.
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