Jibin Hu

Papers

Total Citations

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About

Jibin Hu is a robotics researcher focused on advancing autonomous navigation in complex, real-world environments. His primary research areas include path planning, simultaneous localization and mapping (SLAM), and LiDAR-based perception. Hu’s most notable contribution is the development of APF-RRT*, an efficient sampling-based path planning method that integrates artificial potential fields to significantly improve time efficiency—a critical factor for mobile robot safety. This work has garnered 17 citations and addresses a key limitation of traditional sampling-based planners. In parallel, Hu introduced RDP-LOAM, a real-time and robust LiDAR odometry and mapping framework designed to operate in highly dynamic environments. By removing dynamic points, this system overcomes the fragility of conventional SLAM algorithms that assume static surroundings, enhancing both robustness and accuracy. With 2 citations, RDP-LOAM represents an important step toward practical SLAM for autonomous driving. Hu’s research bridges the gap between theoretical algorithms and real-world deployment, offering tangible solutions for mobile robotics and autonomous vehicles. His work is particularly valuable for students and engineers seeking to understand how to make robots safer and more reliable in unpredictable settings.