Abstract

This study introduces a lidar-based algorithm developed to overcome the difficulties encountered in localizing autonomous robots in complex environments. The testing procedure involves identifying lines coming from points, determining the intersections of these lines, and then calculating the location. The location calculation process was carried out by comparing the instantly obtained intersection points with the previous intersection points. The results obtained from the developed algorithm serve to explain the practical application of the algorithm and demonstrate its ability to achieve precise location detection in real-world scenarios. The findings highlight the effectiveness of the algorithm and its potential to contribute to the advancement of autonomous robot navigation in complex environments.

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