Traditional robot bodies "are still monolithic, unadaptive, and unrecyclable," said paper author and mechanical engineer Hod ...

Researchers from the University of Cambridge and University College London have developed a new type of responsive “ synthetic skin .” The skin is made from a single hydrogel that is capable of ...

SRT-H robot performed gallbladder surgery steps on a model using video training and voice guidance. It chose its actions like ...

The little dinosaur robot blinks its big, blue eyes and stretches its neck. It tilts its head toward a human, who responds with a pat. The dinosaur closes its eyes in apparent contentment. But when it ...

Robot–Human Interaction/Photos From an Unmanned Vehicles Conference Media Platforms Design Team Michael Britt-Crane fishes his robot, the SeaGlide, out of the maritime demonstration tank on the ...

It was actually being controlled by researchers. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. An uncannily human-like robot that had ...

New robot can simulate a self-image, learn what it is "While our robot's ability to imagine itself is still crude compared to humans, we believe that this ability is on the path to machine self ...

On this test, humans took around 3.1-4.9 seconds to complete, with a 71-85 percent accuracy. The fastest bot solved the same test in 1.4 seconds, and could complete it with 100 percent accuracy.

Robots that mimic humans are getting so entrancing, ... Humans creating life in their own image is a cornerstone of the realm of fiction. And until recently, they’ve stayed there.

And just like humans, robots need to know where they are to reliably navigate ... Standard visual place recognition models are built on the foundation of static images, like the ones taken by your ...

More than 20 two-legged robots competed in the world’s first humanoid half-marathon in China on Saturday, and – though technologically impressive – they were far from outrunning their human ...

Scientists at the Computer Science and AI Laboratories at MIT used machine learning approaches to train a robot arm to take action based on question-and-response dialogues with a human teammate.