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About

Yanlong Wei is a leading researcher in robotics and autonomous navigation, specializing in LiDAR-based localization, SLAM, and deep reinforcement learning for mobile robots. His work addresses critical challenges in real-time 3D reconstruction and robust positioning in GNSS-denied environments. Wei’s most cited paper (2022, 51 citations) introduces an improved LiDAR localization method that fuses 3D LiDAR, IMU, and odometry data to enable precise robot localization without satellite signals. He further advanced navigation with a Soft Actor-Critic deep reinforcement learning approach (2024, 18 citations) for dynamic obstacle avoidance. His contributions to real-time dense 3D reconstruction using deep multiview stereo with camera and IMU sensors (2023, 17 citations) have significant implications for computer vision and robotics. Wei has also developed robust indoor localization systems combining vision-CNN relocalization with progressive scan matching, and effective LiDAR-inertial SLAM methods for outdoor environments. His work on staircase climbing robots demonstrates practical applications in environmental recognition and scene mapping. With over 98 total citations across his publications, Wei’s research continues to push the boundaries of autonomous robot perception and navigation.