Yimei Fan

Papers

Total Citations

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About

Yimei Fan is a robotics researcher whose work focuses on advancing Simultaneous Localization and Mapping (SLAM) for small mobile robots, with an emphasis on cost-effective, real-world navigation solutions. Her most-cited paper, "A fast mapping for small mobile robot scanned by single line Lidar" (2022), addresses a critical challenge in robotics: enabling affordable, compact robots to build accurate indoor environment maps for tasks like patrol monitoring and work planning. By leveraging single-line LiDAR sensors, Fan’s approach reduces hardware costs while maintaining mapping efficiency—a key contribution for scalable autonomous systems. Though early in her career, her work has garnered attention for its practical impact on low-cost robot deployment. Fan’s research sits at the intersection of sensor fusion, real-time mapping, and mobile robotics, offering accessible solutions for industries requiring autonomous indoor navigation. Her contributions are particularly relevant for students and engineers exploring SLAM in resource-constrained settings, demonstrating that high-performance mapping can be achieved without expensive equipment. As her citation count grows, Fan is poised to influence the next generation of lightweight, affordable robotic systems.