Ruiye Ming

Huazhong University of Science and Technology

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About

Ruiye Ming is a rising researcher in the field of robotics and autonomous navigation, with a primary focus on LiDAR-inertial SLAM (Simultaneous Localization and Mapping) systems. His work centers on developing robust and efficient algorithms that enable robots to perceive and map their environments in real time. Ming’s most notable contribution is the "Adaptive Global Graph Optimization for LiDAR-Inertial SLAM" (2024), which addresses a critical challenge in SLAM: balancing the front-end odometry’s real-time pose estimation with the back-end’s global optimization for long-term accuracy. By introducing an adaptive graph-based framework, his method intelligently decides when and how to perform global corrections, reducing computational overhead while maintaining high mapping fidelity. This work has already garnered 4 citations, signaling its early impact in the field. Ming’s research is particularly relevant for applications in autonomous vehicles, drones, and mobile robotics, where reliable navigation in complex environments is essential. As an emerging scholar, his innovative approach to SLAM optimization positions him as a promising contributor to the next generation of intelligent robotic systems.