Computer scientists at Princeton are working to bring virtual reality into the physical world, with the potential to enhance a variety of experiences, including remote collaboration, education, entertainment and gaming.
Humans instinctively walk and run—brisk walking feels effortless, and we naturally adjust our stride and pace without conscious thought. For physical AI robots, however, mastering basic movements doesn't automatically translate to adaptability in new or unexpected situations.
A research team from ETH Zurich has taught the four-legged robot ANYmal to play badminton. The system features precise arm movements, quick reflexes and nimble footwork.
Henan University of Technology researchers report on the development of a lightweight lattice-based limb design for a bionic robot. Lightweight structures that can withstand high loads and torsion are in demand in a range of industries such as aerospace, shipbuilding, and robotics. Experimental thin-walled structures, honeycomb cores and lattice frameworks are being tested in search of a new generation of material forms.
Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But what if they could learn to use tools as naturally as a child does by watching videos?
In a major step toward intelligent and collaborative microrobotic systems, researchers at the Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN) at Chemnitz University of Technology have developed a new generation of autonomous microrobots—termed smartlets—that can communicate, respond, and work together in aqueous environments.
Robots are becoming increasingly integrated into everyday environments—from homes and hospitals to factories and farms. However, safely operating around humans requires more than strength or speed. Robots must also sense their surroundings, detect physical contact, and respond quickly. Conventional sensors, especially those embedded in soft materials, often fall short when it comes to real-time, large-area tactile and proximity sensing.
Nature, the master engineer, is coming to our rescue again. Inspired by scorpions, scientists have created new pressure sensors that are both highly sensitive and able to work across a wide variety of pressures.
A collaborative team of researchers from the University of California, Berkeley, the Georgia Institute of Technology, and Ajou University in South Korea has revealed that the unique fan-like propellers of Rhagovelia water striders—which allow them to glide across fast-moving streams—open and close passively, like a paintbrush, ten times faster than the blink of an eye.
A new type of drone, inspired by the aerial precision of birds of prey, could one day navigate through dense city skyscrapers to deliver our packages or inspect hard-to-reach offshore wind farms, thanks to pioneering research from the University of Surrey.
Biological systems have inspired the development of next-generation soft robotic systems with diverse motions and functions. Such versatility in soft robots—in terms of rapid and efficient crawling—can be achieved via asymmetric bending through bilayer-type actuators that combine responsive liquid crystal elastomers (LCEs) with flexible substrates. This, in turn, requires temperature-responsive LCEs with accurate temperature regulation via elaborate Joule heating configurations.
At UC Berkeley, researchers in Sergey Levine's Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled over like a hunched-over giraffe, zoomed toward the tower, brandishing a black leather whip. Through what might have seemed to a casual viewer like a miracle of physics, the whip struck in precisely the right spot to send a single block flying from the stack while the rest of the tower remained structurally sound.
Modular robots built by Dartmouth researchers are finding their feet outdoors. Engineered to assemble into structures that best suit the task at hand, the robots are pieced together from cube-shaped robotic blocks that combine rigid rods and soft, stretchy strings whose tension can be adjusted to deform the blocks and control their shape.
Robots come in a vast array of shapes and sizes. By definition, they're machines that perform automatic tasks and can be operated by humans, but sometimes work autonomously—without human help.
Researchers from Scottish universities have developed an innovative way to breathe new life into outdated robot pets and toys using augmented reality technology.