Can robots adapt their own working methods to solve complex tasks? Researchers at Chalmers University of Technology, Sweden, have developed a new form of AI, which, by observing human behavior, can adapt to perform its tasks in a changeable environment. The hope is that robots that can be flexible in this way will be able to work alongside humans to a much greater degree.
Recent trends in healthcare innovation have reflected a drastic increase in the autonomy levels of surgical robots. Despite the many clear benefits of promoting constant innovation in the field of healthcare robotics, its application in the real world presents multiple gaps that can cause harm in a way that humans cannot necessarily correct or oversee. While the benefits of autonomous surgical robots are abundant, the interplay between robot manufacturers, healthcare providers, and patients poses new risks with the surgical procedure's outcome being no longer limited to the skill of the surgeon. This necessarily begs the question: who is responsible when something goes wrong?
MIT engineers have developed a telerobotic system to help surgeons quickly and remotely treat patients experiencing a stroke or aneurysm. With a modified joystick, surgeons in one hospital may control a robotic arm at another location to safely operate on a patient during a critical window of time that could save the patient's life and preserve their brain function.
When it comes to the future of intelligent robots, the first question people ask is often: How many jobs will they make disappear? Whatever the answer, the second question is likely to be: How can I make sure that my job is not among them?
In a lab at the University of Washington, robots are playing air hockey.
In early November 2013, the news wasn't looking great for Tesla. A series of reports had documented instances of Tesla Model S sedans catching on fire, causing the electric carmaker's share price to tumble.
New research from the University of Hertfordshire reveals how humans could develop more natural, social interactions with robots in the future.
Yes, those 7-foot-tall machines at Dallas Love Field are watching you. They want to make sure you're wearing a mask if you're boarding a flight or not parking too long at the curb if you're picking up a returning traveler.
Materials scientists aim to develop biomimetic soft robotic crawlers including earthworm-like and inchworm-like crawlers to realize locomotion via in-plane and out-of-plane contractions for a variety of engineering applications. While such devices can show effective motion in confined spaces, it is challenging to miniaturize the concept due to complex and limited actuation. In a new report now published in Science Advances, Qiji Ze and a team of scientists in mechanical engineering and aerospace engineering at Stanford University and the Ohio State University, U.S., described a magnetically actuated, small-scale origami crawler exhibiting in-plane contraction. The team achieved contraction mechanisms via a four-unit Kresling origami assembly to facilitate the motion of an untethered robot with crawling or steering capacity. The crawler overcame large resistances in severely confined spaces due to its magnetically tunable structural stiffness and anisotropy. The setup provided a contraption for drug storage and release with potential to serve as a minimally invasive device in biomedicine.
If you've seen photos of a teapot shaped like an avocado or read a well-written article that veers off on slightly weird tangents, you may have been exposed to a new trend in artificial intelligence (AI).
Chemists integrated computer functions into rolling DNA-based motors, opening a new realm of possibilities for miniature, molecular robots. Nature Nanotechnology published the development, the first DNA-based motors that combine computational power with the ability to burn fuel and move in an intentional direction.
A pair of researchers working in the Personal Robotics Laboratory at Imperial College London has taught a robot to put a surgical gown on a supine mannequin. In their paper published in the journal Science Robotics, Fan Zhang and Yiannis Demiris described the approach they used to teach the robot to partially dress the mannequin. Júlia Borràs, with Institut de Robòtica i Informàtica Industrial, CSIC-UPC, has published a Focus piece in the same journal issue outlining the difficulties in getting robots to handle soft material and the work done by the researchers on this new effort.
A pair of researchers working in the Personal Robotics Laboratory at Imperial College London has taught a robot to put a surgical gown on a supine mannequin. In their paper published in the journal Science Robotics, Fan Zhang and Yiannis Demiris described the approach they used to teach the robot to partially dress the mannequin. Júlia Borràs, with Institut de Robòtica i Informàtica Industrial, CSIC-UPC, has published a Focus piece in the same journal issue outlining the difficulties in getting robots to handle soft material and the work done by the researchers on this new effort.
A team of researchers affiliated with a host of entities in China has created a type of magnetic slime that can be configured on the fly to perform a variety of robotic tasks. In their paper published in the journal Advanced Functional Materials, the group describes their slime, possible uses for it and the actions they have taken to make it less toxic.
Machines can beat the world's best chess player, but they cannot handle a chess piece as well as an infant. This lack of robot dexterity is partly because artificial grippers lack the fine tactile sense of the human fingertip, which is used to guide our hands as we pick up and handle objects.