This article discusses the challenges of Simultaneous Localization and Mapping (SLAM) in robotics. The authors propose a solution using the Particle Filter SLAM method, leveraging encoded data for precise motion estimation and lidar technology for environmental perception. This approach is designed to construct and update a map of an unknown environment while simultaneously tracking the robot’s location. The research demonstrates the practical impact of Particle Filter SLAM in solving real-world problems and has potential applications in autonomous navigation and robotics.
Publication date: 13 Feb 2024
Project Page: DOI link not provided
Paper: https://arxiv.org/pdf/2402.07429
