The more we interact with robots, the more human we perceive them to become—according to new research from the University of East Anglia, published in the Journal of Experimental Psychology: Human Perception and Performance.
The future of moon exploration may be rolling around a nondescript office on the CU Boulder campus. Here, a robot about as wide as a large pizza scoots forward on three wheels. It uses an arm with a claw at one end to pick up a plastic block from the floor, then set it back down.
A new imaging technique developed by MIT researchers could enable quality-control robots in a warehouse to peer through a cardboard shipping box and see that the handle of a mug buried under packing peanuts is broken.
From delivering food in restaurants to cleaning airports, robots are becoming increasingly common in society—but are our policies ready to keep up?
From delivering food in restaurants to cleaning airports, robots are becoming increasingly common in society—but are our policies ready to keep up?
While so far robots have predominantly been deployed individually, as teams, they can tackle a wider range of complex missions with remarkable speed and efficiency. For instance, they could help to rapidly transport objects to target locations, moving on varying terrains and perhaps even passing through environments that are difficult for humans to access.
The drone industry has landed after a long flight to the implementation of drone traffic management.
Diffusion models like OpenAI's DALL-E are becoming increasingly useful in helping brainstorm new designs. Humans can prompt these systems to generate an image, create a video, or refine a blueprint, and come back with ideas they hadn't considered before.
Robotic systems have the potential to greatly enhance daily living for the over one billion individuals worldwide who experience some form of disability. Brain-computer interfaces or BCIs present a compelling option by enabling direct communication between the brain and external devices, bypassing traditional muscle-based control.
Inspired by a simple children's toy, a jumping popper toy, researchers have unlocked a key to designing more agile and predictable soft robots. Soft robots, made from flexible materials, hold immense promise for delicate tasks, but their complex movements have been difficult to predict and control, especially dynamic actions like jumping.
While China's men's soccer team hasn't generated much excitement in recent years, humanoid robot teams have won over fans in Beijing based more on the AI technology involved than any athletic prowess shown.
According to a recent study published in Advanced Intelligent Systems, the brain can adapt to an artificial third arm and use it for simple tasks. This keeps alive the dream of precision mechanics and surgeons for people to deftly use a third arm sometime in the future.
As an undergraduate student, Yufeng Chi (B.S.'23 EECS) was captivated by humanoid and legged robots. Eager to learn more, he would watch YouTube videos and dive into class projects, but getting hands-on experience and tinkering on his own was not easy.
Imagine a future in which people with disabilities can walk on their own, thanks to robotic legs. A new project from Northern Arizona University is accelerating that future with an open-source robotic exoskeleton.
Scientists at the University of Bristol have discovered that the common kitchen ingredient, used in Vietnamese spring rolls, is biodegradable, non-toxic and suitable for soft robotic prototyping, outreach and single-use applications.