All posts by Robotics News - Robot News, Robotics, Robots, Robotics Sciences

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Sanding away hidden insulation results in more reliable method to measure robotic touch reception

Researchers at Northwestern University and Israel's Tel Aviv University have overcome a major barrier to achieving a low-cost solution for advanced robotic touch. The authors argue that the problem that has been lurking in the margins of many papers about touch sensors lies in the robotic skin itself.

Q&A: How digital twins enhance design and control of off-road autonomy

Digital twins are a rapidly advancing area in engineering, going beyond static models to continuously receive data from the physical world and make predictions that go on to affect that reality. They have applications in areas such as energy systems, manufacturing and medicine. U-M's Automotive Research Center (ARC) uses them to help design, test and control autonomous off-road vehicles that operate in human-led teams.

System converts fabric images into complete machine-readable knitting instructions

Recent advances in robotics and machine learning have enabled the automation of many real-world tasks, including various manufacturing and industrial processes. Among other applications, robotic and artificial intelligence (AI) systems have been successfully used to automate some steps in manufacturing clothes.

Vote-based model developed for more accurate hand-held object pose estimation

Many robotic applications rely on robotic arms or hands to handle different types of objects. Estimating the pose of such hand-held objects is an important yet challenging task in robotics, computer vision and even in augmented reality (AR) applications. A promising direction is to utilize multi-modal data, such as color (RGB) and depth (D) images. With the increasing availability of 3D sensors, many machine learning approaches have emerged to leverage this technique.

Scientists use virtual reality for fish to teach robots how to swarm

Fish are masters of coordinated motion. Schools of fish have no leader, yet individuals manage to stay in formation, avoid collisions, and respond with liquid flexibility to changes in their environment. Reproducing this combination of robustness and flexibility has been a long-standing challenge for human-engineered systems like robots.

‘Robotability score’ ranks NYC streets for future robot deployment

For delivery robots, not all sidewalks are created equal—some are uneven or clogged with people and bus shelters—so researchers at Cornell Tech developed a "robotability score" and rated every street in New York City on how hospitable it would be to robots.

Flying squirrel-inspired drone with foldable wings demonstrates high maneuverability

Unmanned aerial vehicles (UAVs), commonly known as drones, have already proved to be valuable tools for a wide range of applications, ranging from film and entertainment production to defense and security, agriculture, logistics, construction and environmental monitoring. While these technologies are already widely used in many countries worldwide, engineers have been trying to enhance their capabilities further so that they can be used to tackle even more complex problems.

High-wire act: Soft robot can carry cargo up and down steep aerial wires

Researchers have created a light-powered soft robot that can carry loads through the air along established tracks, similar to cable cars or aerial trams. The soft robot operates autonomously, can climb slopes at angles of up to 80 degrees, and can carry loads up to 12 times its weight.

Microrobots powered by thin-film actuator can morph, lock shapes and operate untethered

A team of roboticists at Tsinghua University, working with a trio of colleagues from Beihang University, all in China, has designed a new type of microrobot that can continuously transform its shape and "lock" into specific configurations. In their paper published in the journal Nature Machine Intelligence, the group describes the factors that went into their design, the capabilities of the microrobots and possible uses for them.

Scientists are changing number of experiments run by employing coordinated team of AI-powered robots

To build the experimental stations of the future, scientists at the National Synchrotron Light Source II (NSLS-II), a U.S. Department of Energy (DOE) Office of Science user facility at DOE's Brookhaven National Laboratory, are learning from some of the challenges that face them today. As light source technologies and capabilities continue to advance, researchers must navigate increasingly complex workflows and swiftly evolving experimental demands.
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