With the continuous development of industrial automation,the application of industrial robots is rapidly increasing.Simultaneous Localization and Mapping(SLAM)for autonomous mobile robots in unknown environments have become a research hotspot.Currently,laser SLAM technology has made great progress,and many open source laser SLAM methods have matured,but their performance in real world environments is not confirmed.In this paper,three mainstream laser SLAM algorithms are applied to a tracked mobile robot system in an indoor environment to evaluate the algorithms′ localisation performance in real environments.The experimental results show that the Gmapping algorithm exhibits better localization performancein small scale scenarios,while the Karto and Cartographer algorithms have smaller differences and need to be selected according to the complexity of the real scene.