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 ...

The City of Irvine is conducting a self-evaluation of public facilities under Title II of the Americans with Disabilities Act ...

MIT and Ford have developed a navigation method that helps delivery robots map out their route in real-time.

Basically, IHMC manages these complex navigation operations by specifying a beginning and end point for the robot, and then mapping all possible paths on a footstep-by-footstep basis, evaluating ...

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 ...

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.

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