Paper Title
Implementation of Dbscan on 2D Lidar Based Mappingin Webots

Abstract
This research paper investigates the utilization of LiDAR data, which is processed using the DBSCAN clustering technique, to enhance the mapping capabilities of mobile robots in the Webots simulation environment. The study aims to examine the impact of adjusting the EPS and “min_samples” parameters on the accuracy of DBSCAN in identifying obstacles from a stationary location. This approach integrates real-time sensory input processing with DBSCAN to achieve precise mapping of the robot's surroundings, considering environmental changes. The simulation results demonstrate the effectiveness of the system in producing accurate and reliable maps of preselected areas, highlighting the potential application of this technology in complex real-life scenarios. Future investigations will assess the efficacy of this approach in diverse environments and with various robot models, aiming to enhance its practicality in real-world situations. Keywords - Webots, Lidar, Mobile robot, Mapping, DBSCAN