A new deep learning model from Cardiff University helps robots choose safer, more reliable paths—marking a shift from acrobatics to real-world navigation.

Navigating without a map is a difficult task for robots, especially when they can't reliably determine where they are. A new AI-powered solution helps robots overcome this challenge by training them ...

"Partnering with Irvine marks a milestone in urban accessibility," added Joseph Sullivan, Co-founder of Daxbot. "The city is ...

Predicting these advances isn’t easy, however. There is no simple Moore’s Law-type observation that makes it easy to map out the path robots are taking from clunky machines to smooth operators.

In order for delivery robots to drop your takeout, package or meal-kit at the door, they'll need to be able to find the door. In most cases, that requires mapping a location in advance so that the ...

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and ...