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.
Laser trackers help improve precision and reduce operational costs of industrial robots, new research from the University of Nottingham says.
Imagine you are in a vast library with no catalog, typing random words into a search bar and hoping to stumble upon the exact book you need. That has been the reality for many roboticists trying to find the right ROS (Robot Operating System) package. With over 7,500 options available, keyword searches often return irrelevant results, wasting developers' precious time and energy.
Robots are increasingly becoming a part of our lives—from warehouse automation to robotic vacuum cleaners. And just like humans, robots need to know where they are to reliably navigate from A to B.
Micro-robots that can inspect water pipes, diagnose cracks and fix them autonomously—reducing leaks and avoiding expensive excavation work—have been developed by a team of engineers led by the University of Sheffield.
EPFL researchers have developed a customizable soft robotic system that uses compressed air to produce shape changes, vibrations, and other haptic, or tactile, feedback in a variety of configurations. The device holds significant promise for applications in virtual reality, physical therapy, and rehabilitation.
Recent advances in the field of robotics have enabled the automation of various real-world tasks, ranging from the manufacturing or packaging of goods in many industry settings to the precise execution of minimally invasive surgical procedures. Robots could also be helpful for inspecting infrastructure and environments that are hazardous or difficult for humans to access, such as tunnels, dams, pipelines, railways and power plants.