SLAM (Simultaneous Localization and Mapping) is a computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. This technology is crucial for autonomous systems like robots and drones, enabling them to navigate and understand their surroundings without prior knowledge of the terrain.