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

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

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 ...

Wearable technologies with gesture sensors work fine when a user is sitting still, but the signals start to fall apart under ...

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 ...

Researchers are always looking for ways to make controlling robots more natural for human operators. MIT is making strides in controlling robots using brainwaves and hand gestures. This could mean ...

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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 ...

(Nanowerk News) Getting robots to do things isn't easy: usually scientists have to either explicitly program them or get them to understand how humans communicate via language. But what if we could ...

Last year, we heard about an MIT-designed system that detects when someone has observed a robot making a mistake, and that stops the robot as a result. A new addition now allows that person to let the ...