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.
Engineers have developed a new method that uses light to improve 3D printing speed and precision while also, in combination with a high-precision robot arm, providing the freedom to move, rotate, or dilate each layer as the structure is being built.
Researchers have constructed a 3D vision-guided artificial skin that enables tactile sensing with high performance, opening doors to innumerable applications in medicine.
Researchers have demonstrated that high-dose therapy gait training using robotic exoskeletons may aid early rehabilitation for acute stroke.
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
Computer scientists use TACC systems to generate synthetic objects for robot training.
Professor Dr Peter Pott and his team turn to 3D printers to successfully realize his vision of “high end at low cost” medical devices.
Engineers have create a robot that learns to visually predict how its partner robot will behave, displaying a glimmer of empathy.
Researchers have developed a system that combines a brain-computer interface and a robotic arm that responds to the actual intentions of treated patients.
The following seven robotic systems are either currently being deployed or developed for the fight against the coronavirus.
Scientists have proposed a new principle by which active matter systems can spontaneously order, without need for higher level instructions or even programmed interaction among the agents.