Can lidar technology improve autonomous robot localization in complex warehouse environments? This study introduces a lidar-based algorithm designed to address the challenges of localizing autonomous robots in warehouse settings. The testing procedure involves identifying lines from point cloud data, determining their intersections, and calculating location based on these intersections. The location calculation process compares instantly obtained intersection points with previous intersection points. The results demonstrate the algorithm's practical application and its ability to achieve precise location detection in real-world scenarios. The findings highlight the algorithm's effectiveness and its potential to contribute to the advancement of autonomous robot navigation in complex environments, improving efficiency in warehouse logistics.
Focusing on the use of lidar for position estimation, this article directly fits the scope of The European Journal of Research and Development, aligning with the journal’s emphasis on advancements in engineering. The study shows a practical approach to robot navigation, contributing to the journal’s dissemination of research impacting industrial processes.