Researchers have developed robotic prosthetic legs which use motors that were originally designed for use on the robotic arm of the ISS.
Researchers have developed an artificial liquid retinal prosthesis to counteract the effects of diseases such as retinitis pigmentosa and age-related macular degeneration.
Researchers have developed a system for integrating artificial chip-based 'neurons' with real neurons using QR-code-like patterns of light to facilitate communication.
Scientists have developed the world's first fully integrated bionic arm prosthesis that is ready to use – in keeping with the motto "Plug and Play".
New prosthetic technologies that stimulate the nerves could pave the way for prostheses that feel like a natural part of the body and reduce the phantom limb pain commonly endured by amputees.
A prototype for the first 3D-printed, sensor-operated prosthetic arm designed for toddlers under two years-old has been developed by UK engineers.
Researchers have implanted electrodes in brain of a person who is mostly paralyzed to enable him to have some “mind control” of motorized prosthetic arms.
Scientists have successfully tested neuroprosthetic technology that combines robotic control with users’ voluntary control, opening avenues in the new interdisciplinary field of shared control for neuroprosthetic technologies.
Researchers have developed biodegradable microresonators that could soon be used in implants to control the release of painkillers within tissue.
Researchers have successfully implanted sensors in three male patients following nerve transfers, to transmit biosignals for wireless control of robotic arms.
A new 3D printed prosthetic hand can learn the wearers' movement patterns to help amputee patients perform daily tasks.
Engineers have designed pliable, 3D printed mesh materials whose flexibility and toughness they can tune to emulate and support softer tissues such as muscles and tendons.
The Open-Source Bionic Leg will enable investigators to efficiently solve challenges associated with controlling bionic legs across a range of activities in the lab and out in the community.
Wearing a sensor-packed glove while handling a variety of objects, researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone.