vSLAM stands for Visual Simultaneous Localisation and Mapping. It is a variant of the SLAM method in which only image data from cameras is used for position determination and mapping. The robot analyses visual features (e.g. edges, patterns, marked guide strips) in the environment and uses them to determine its position and the structure of the environment. Compared to LiDAR sensors, vSLAM requires less space and energy, but its performance can be limited in poor lighting conditions or on surfaces with little structure. Which system is better for your autonomous mobile robots (AMRs) depends on your individual needs and premises.