Researchers from Cardiff University, Hohai University, and Spirent Communications developed a deep reinforcement learning ...

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 ...

Combining an enhanced A* algorithm with BIM, this research improves construction robot path planning, addressing navigation challenges in complex spaces.

Electrolux's robot vac scans objects to map its path The Electrolux Pure i9 sees and avoids potential obstacles while it cleans your floor.

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 ...