SLAM (Simultaneous Localization and Mapping) is a technology that enables robots or devices to build a map of an unknown environment while simultaneously determining their position within it. Using sensors (cameras, LiDAR) and algorithms, SLAM is critical for autonomous navigation in applications like drones, self-driving cars, and robotic vacuum cleaners, allowing operation in unstructured or GPS-denied spaces.
