Leiden researchers Professor Daniela Kraft and Mengshi Wei have created microscopic robots that move without sensors, software, or external control. Instead, their behavior emerges entirely from their shape and the way they interact with their environment. They are only a few tens of micrometers long—far smaller than the width of a human hair—yet these robots can swim, sense, navigate and adapt in ways that look surprisingly life-like. And all this without having a brain.
What if technology, such as self-driving cars, drones, or intelligent navigation systems, could understand the world the way we do—not just seeing shapes, but recognizing meaning? A person waiting at a crosswalk, a bicycle left on the pavement, or a dog running across a yard—for us, these distinctions are instant. For systems that rely on data, they have long been a challenge.
In a major step toward more adaptable and intuitive machines, Kempner Institute Investigator Yilun Du and his collaborators have unveiled a new kind of artificial intelligence system that lets robots "envision" their actions before carrying them out. The system, which uses video to help robots imagine what might happen next, could transform how robots navigate and interact with the physical world.
In a major step toward more adaptable and intuitive machines, Kempner Institute Investigator Yilun Du and his collaborators have unveiled a new kind of artificial intelligence system that lets robots "envision" their actions before carrying them out. The system, which uses video to help robots imagine what might happen next, could transform how robots navigate and interact with the physical world.
Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.
A team led by Worcester Polytechnic Institute (WPI) researcher Nitin J. Sanket has shown that ultrasound sensors and a form of artificial intelligence (AI) can enable palm-sized aerial robots to navigate with limited power and computation through fog, smoke, and other challenging conditions during search-and-rescue operations.
AI-powered robots are set to track across thousands of kilometers of baked, uneven ground, reducing the danger for maintenance workers on Australia's large-scale solar farms. A successful trial by CSIRO, Australia's national science agency, repurposed autonomous robots originally designed for the mining industry. Without robots, the work is done on foot, bringing significant cost and safety risks.
While space structures and robotic arms require lightweight actuation devices capable of repetitive movement, conventional motor-based systems face limitations due to their heavy weight and complex structures. A KAIST research team has developed a smart material-based actuation technology that operates rapidly in less than a second without a motor, suggesting new possibilities for next-generation robotics and space deployable structures.
The next time you're scrolling on your phone, take a moment to appreciate the feat: The seemingly mundane act is possible thanks to the coordination of 34 muscles, 27 joints, and over 100 tendons and ligaments in your hand. Indeed, our hands are the most nimble parts of our bodies. Mimicking their many nuanced gestures has been a longstanding challenge in robotics and virtual reality.
Amazon has acquired Fauna Robotics, just under two months after the startup introduced a humanoid robot called Sprout designed to be a friendly addition to social spaces like homes and schools.
A combination of infrared imaging, thermal imaging and color cameras on an uncrewed drone, along with an AI system to interpret the data, can help emergency responders and search-and-rescue teams locate, identify and track people who have gone missing in the wilderness. The experimental system helps responders pinpoint where a missing person is and determine whether they are hurt or even alive.
Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ground, the horse picks up its pace to catch up with the herd. How is the horse able to transition between these different gaits? Researchers at Brown University's Carney Institute for Brain Science have developed an artificial neural network that shows how a four-legged creature may generate multiple distinct patterns in gait. Their research provides new insights into how the brain may process complex behaviors.
A research team from Fraunhofer HNFIZ has published a newly developed evaluation model that classifies the technical capabilities of humanoids into five levels. Applications can also be classified based on the required robot capabilities. The model makes humanoids comparable, facilitates finding the right humanoid for a specific application, and highlights open issues in technology development.
A bird banking in a crosswind doesn't rely on spinning blades. Its wings flex, twist and respond instantly to its environment. Engineers at Rutgers University have taken a major step toward building bird-like drones that move the same way, flapping their wings like real birds, using electricity-driven materials instead of conventional electromagnetic motors to power them.
When a nuclear plant reaches the end of its life or is damaged, it must be decommissioned. This process can take more than 20 years and includes decontamination, dismantling, and handling radioactive materials so the site can be reused. According to the International Atomic Energy Agency, almost half of the 423 nuclear power reactors in operation today are expected to enter decommissioning by 2050.