Increasing the Efficiency of Mobile Robot Navigation Using Slam with Several Advanced Algorithms and Filters

Abstract

Several algorithms such as A∗, Dijkstra, SLAM (Simultaneous Localisation and Mapping) and APF (Artificial Potential Field) were used in this study to create local maps, plan the shortest path, and localize mobile robots. In fact, when compared to the SLAM/APF method, these algorithms achieved a reduction in road length by 1.18 meters. Nevertheless, the SLAM/APF method outperformed the Dijkstra algorithm by reducing navigation time by 7.62 seconds and surpassed the A∗ method by reducing navigation time by 5.76 seconds.