Minglei Li
Papers
1
Total Citations
4
H-Index
1
About
Dr. Minglei Li is a researcher specializing in robotics, autonomous navigation, and sensor perception, with a particular focus on simultaneous localization and mapping (SLAM) systems. His work addresses critical challenges in enabling mobile robots to accurately perceive and navigate complex environments. A key contribution is his detailed characterization of the Sick LMS511-20100Pro laser range finder, published in 2017, which provided essential calibration and performance insights for integrating this sensor into SLAM frameworks. This foundational study has garnered 4 citations, serving as a reference for engineers and researchers optimizing LiDAR-based mapping and localization. Dr. Li’s research bridges the gap between sensor hardware limitations and algorithmic robustness, advancing the reliability of autonomous systems in real-world applications. His work is particularly valuable for students and practitioners developing field-deployable robots, where sensor fidelity directly impacts navigation accuracy. By systematically evaluating sensor behavior under varied conditions, Dr. Li contributes to the broader goal of creating more resilient and perceptive autonomous platforms.
Research Focus
Key Achievements
Top Papers
- 1