Scientists decode imagined finger movements into robotic control, marking a game-changing moment in noninvasive brain tech.

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Auburn University researchers have replicated a 500-year old prosthetic hand and demonstrate its usability half a millennia later.

A research team at MIT has introduced a new method for controlling soft, flexible robots using just a single image—without relying on complex sensors or detailed modeling. The approach, recently ...

If an object that's composed of two types of material is going to fail, the break will usually occur at the interface where ...

Treddy Additive Days 2025 unites industry giants around 3D printing’s future in a high-caliber summit entirely devoted to ...

MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, low-cost control in tight and rough spaces.

MIT’s CSAIL researchers developed a system that lets soft robots learn how their bodies move using only vision and AI with no ...

The system consists of only a single millimeter-scale photonic chip without any moving parts.

A new system designed and built by undergraduate students at the University of Toronto could help lower the barriers to ...

With the boom in AI driving a growth of digital data at an unprecedented rate, the traditional magnetic tapes we have been ...

Cloudflare, which powers many of the world’s most prominent websites, made waves last week by introducing a default setting ...