Mingyao Ai

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About

Mingyao Ai is a leading researcher in robotics and autonomous navigation, with a focus on LiDAR-based perception and mapping. His work addresses critical challenges in enabling robots to operate safely and efficiently in unknown environments. Ai’s most impactful contribution is the "Robust symmetric iterative closest point" (2022) algorithm, which has garnered 64 citations for its advancement in point cloud registration—a fundamental problem for 3D mapping and localization. This work improves the accuracy and robustness of aligning LiDAR scans, directly benefiting applications in autonomous driving and mobile robotics. Earlier, Ai developed the "Eight-Direction Scanning Detection Algorithm" (2018), a novel pathfinding method for mapping robots in unknown indoor spaces, using laser-based SLAM to enhance navigation efficiency and safety. His most recent work, "STATIC-LIO" (2025), introduces a sliding window and terrain-assisted approach for dynamic point removal in LiDAR inertial odometry, further refining real-time mapping in complex environments. With a growing citation record, Ai’s research continues to push the boundaries of robust, real-time robotic perception, making him a notable figure in the field of autonomous systems.