A soft armband that lets you steer a robot while you sprint on a treadmill or bob on rough seas sounds like science fiction.

UCSD engineers created a soft, AI-powered wearable that filters motion noise and interprets gestures in real time.

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

Imagine being able to control a robot just by moving your arm, even if you’re running, riding in a car or being bounced ...

Engineers at the University of California San Diego have developed a next-generation wearable system that enables people to ...

Traditionally, robot arms have been controlled either by joysticks, buttons, or very carefully programmed routines. However, for [Narongporn Laosrisin’s] homebrew build, they decided to go with ...

Human–robot interaction (HRI) and gesture-based control systems represent a rapidly evolving research field that seeks to bridge the gap between human intuition and robotic precision. This area ...