AI-powered wearable cleans noisy motion signals to let users control machines with simple gestures in real-world conditions.
A new wearable system uses stretchable electronics and artificial intelligence to interpret human gestures with high accuracy even in chaotic, high-motion environments.
For example, researchers at the Harvard University School of Engineering and Applied Science and Mass General Brigham have ...
In a first, scientists believe they have confirmed we have another sense – a “remote touch” that we share with others in the ...
Robots aren't always the most delicate of machines when handling fragile objects. They don't have the lightness of touch of ...
BEIJING, Nov. 2, 2025 /PRNewswire/ -- On November 1, 2025, PL-Universe Robotics, an emerging Chinese embodied intelligence company, held its Robotics 2025 Launch & JD.com Deep Collaboration ...
Abstract: This article presents a predefined-time reliable control strategy with prescribed performance for tracking control of robotic systems with actuator faults and parametric uncertainties. A ...
Abstract: Material handling is a critical process in industries that requires a lot of human labour to be completed. The trend of integrating robots into working tasks is growing, leading to changes ...
The curious minds at ColdFusion reveal a robot hand that learned human behavior on its own. This matters because it demonstrates the potential for machines to adapt, interact, and learn like humans.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback