Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and navigate complex indoor spaces more safely and efficiently. (Nanowerk News) ...

Deep inside Stellantis' Sterling Heights Assembly Plant (SHAP), an autonomous robot quietly glides through the warehouse aisles, scanning shelves, capturing images and building a live digital map of ...

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 ...