Gainesville High School students visited UVA Health Prince William Medical Center for a hands-on look at robotic-assisted ...

Gainesville High School students visited UVA Health Prince William Medical Center for a hands-on look at robotic-assisted ...

Developed at the University of California San Diego, the system pairs soft, stretchable sensors with a deep-learning engine ...

Walk through almost any small or mid-sized machine shop in the United States today and a new scene is emerging. Amid the familiar soundtrack of mills and grinders, a robotic arm might be tending a ...

For example, researchers at the Harvard University School of Engineering and Applied Science and Mass General Brigham have ...

A decade ago, at age 55, Don Lewis suffered a stroke in his sleep. When he woke up, he couldn't move his left arm or leg. Lewis' neighbor realized his ...

Engineers at the University of California San Diego have developed a next-generation wearable system that enables people to control machines using everyday gestures — even while running, riding in a ...

DailyRobotics prepares for 2026 debut in California with a robotic harvester it claims can pick strawberries 2-3x faster than ...

Beyond road tests, the project integrates smart infrastructure. At a low-carbon green charging station, the bus autonomously ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

A new wearable system uses stretchable electronics and artificial intelligence to interpret human gestures with high accuracy even in chaotic, high-motion environments.

Joanna Hoh, a biomechanics and movement science (BIOMS) doctoral student at the University of Delaware, tests Don Lewis’ sensory loss in his arm post-stroke using a KINARM robotic exoskeleton.