AI-powered wearable cleans noisy motion signals to let users control machines with simple gestures in real-world conditions.

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 ...

Using common kitchen ingredients such as citric acid and sodium bicarbonate, scientists have created an edible pneumatic ...

China leads in low-cost rotary actuators, but trails Western suppliers in C3-grade roller screws needed for heavy-load, ...

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

Unlike many STEM toys that rely heavily on building-block pieces, the Rider kit is ready to use out of the box and you don’t ...

Perrone Robotics, a pioneer in autonomous vehicle and robotics technology, today announced the milestone achievement of over a year of operation of its CONNECT autonomous transit service in Detroit.

Wohler is pleased to announce a significant enhancement to the new iVAM2-MPEG Secure Reliable Transport (SRT) monitor. The innovative device adds three SRT capabilities to its feature set: CALLER and ...

Industrial automation is becoming increasingly software-centric, connected and enhanced by Artificial Intelligence. Bosch ...

A team led by the University of Oxford has developed a new class of soft robots that operate without electronics, motors, or ...

Humanoid robot training is booming around the world. Tech companies are rushing to build the robots for a market projected to ...

Abstract: Achieving accurate closed-loop position control of soft robots remains an ongoing research problem, due to the challenges posed by underactuation, elastic nonlinearities, and material creep.