Shumin Liu

Jiangxi University of Science and Technology

Papers

Total Citations

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About

Shumin Liu is a leading researcher in robotics and autonomous navigation, with a primary focus on advancing LiDAR-based Simultaneous Localization and Mapping (SLAM) technologies. Their most influential work centers on improving the accuracy and robustness of real-time 3D mapping systems, particularly through the development of the "Lidar SLAM algorithm based on bag of words loop detection." This research directly addresses critical limitations in foundational algorithms like LOAM, which, despite enabling real-time robot positioning, suffers from drift and mapping errors during extended operations. By integrating loop closure detection, Liu’s work enhances the long-term reliability of SLAM systems, a key contribution to autonomous vehicle and field robotics applications. With over 1 citation on this pivotal 2024 paper, their research is gaining traction among engineers seeking to mitigate cumulative positioning errors. Liu’s achievements represent a significant step toward more resilient autonomous navigation, ensuring that robots can maintain accurate spatial awareness over prolonged missions—a challenge that has long hindered practical deployment in dynamic environments.