With a rate of mutation 35 percent higher than random chance, this previously unknown weakness could be a major vector for ...

Rather than pushing a futuristic, machine-forward aesthetic, XPENG leans into recognisable visual cues such as body shape, ...

For a robot, the real world is a lot to take in. Making sense of every data point in a scene can take a huge amount of computational effort and time. Using that information to then decide how to best ...

From left, engineering professor Morteza Lahijanian and graduate student Karan Muvvala watch as a robotic arm completes a task using wooden blocks. Imagine for a moment that you’re in an auto factory.

Using a novel relevance framework developed at MIT, the robot identifies and prioritizes objects in the scene to autonomously assist humans in a seamless, intelligent, and safe manner. CAMBRIDGE, MA - ...

Imagine for a moment that you’re in an auto factory. A robot and a human are working next to each other on the production line. The robot is busy rapidly assembling car doors while the human runs ...