LiDAR SLAM (Simultaneous Localisation and Mapping) is a process in which a robot creates a map of its surroundings and determines its own position within it. It is based on laser point data from LiDAR (Light Detection and Ranging) technology, which is used for precise distance measurement. This results in greater accuracy than visual SLAM models, as evaluation is possible even in changing light conditions. Among other things, the method is used to ensure the autonomous navigation of autonomous mobile robots (AMRs) in dynamic and even unknown environments.