University of Michigan researchers have created a way for robots to predict when they can't trust their models, and to recover when they find that their model is unreliable.
Researchers have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected the simple robots in a line, after which each individual robot taught itself to move forward as quickly as possible.
Scientists have developed a more accurate navigation system that allows robots to better negotiate busy clinical environments in general and emergency departments more specifically.
Neurolutions IpsiHand exoskeleton uniquely leverages brain-computer interface technology for chronic stroke rehabilitation
Researchers have discovered a new law of physics that accounts for that accounts for elastohydrodynamic lubrication (EHL) friction, which should advance a wide range of robotic technologies.
Researchers have demonstrated that, with training, neural control of a powered prosthetic ankle can restore a wide range of abilities, including standing on very challenging surfaces and squatting.
Professor Dr Henning Windhagen is a great fan of semi-automatic systems in the OR that help with implants but leave the surgeon in the driver’s seat.
Researchers have created life forms that self-assemble a body from single cells and do not require muscle cells to move. They're faster, live longer, and can now record information.
Can a robot draw a response simply by making “eye” contact, even with people who are less inclined to speak up. A recent study suggests that it can.
The Covid-19 pandemic highlights how remote healthcare robots currently being developed could be beneficial in the future.
Dr Jan Stallkamp, Professor for Automation in Healthcare and Biotechnology, has a vision: robots that can treat patients more efficiently and more precisely than any human physician.