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 ...

Explore how a robot keeps track of its position as it moves.

The solution is a sensor and data pipeline for mm-wave RADAR signals that provides localization and mapping data for autonomous robots. Radar does not suffer from the same limitations as LIDAR, hence ...

In the medicine of the future, tiny robots will navigate independently through tissue and medical instruments will indicate their position inside the body during surgery. Both require doctors to ...

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