SLAM stands, for simultaneous localization and mapping. It’s a process used by robots and autonomous systems to navigate through an unknown environment while also building a map of that environment. The robot uses sensors, such as cameras, lidar, or sonar, to collect data about the environment and its own movement within it.

SLAM technology uses sophisticated computer algorithms and light-ranging technology like LiDAR (Light Detection and Ranging) and 360° cameras, to “solve” the chicken and egg problem by performing both functions at the same time.

Using SLAM, the vehicle can autonomously navigate an unknown environment by building a map and simultaneously localizing itself on that map. Simultaneous Localization and Mapping has advantages over traditional GPS, especially in urban areas with tall buildings.