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.

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

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

This gesture control robot project demonstrates the capability to control the robot without the need of push buttons or physical switches. With a 3-axis accelerometer device, commands to the output ...

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 ...

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

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 ...

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Senior software engineer David Alfonso of Boston-based Pison Technology doesn’t resemble the sorceror’s apprentice from the old Walt Disney cartoon “Fantasia.” But with a wave of his hand, he seemed ...