Min-Hong Park
Papers
2
Total Citations
5
H-Index
2
About
Min-Hong Park is a robotics researcher specializing in autonomous navigation systems for mobile robots operating in complex, real-world environments. His work primarily focuses on improving the efficiency and reliability of logistics and outdoor robots through advanced sensor fusion and path-planning algorithms. In his most cited paper, Park proposed an improved navigation algorithm for logistics transportation robots, integrating a weight-based priority collision avoidance method with SLAM to enable multiple robots to navigate dynamic warehouse environments more efficiently than standard D* Lite algorithms. His subsequent research extended these principles to outdoor settings, where he developed a caterpillar mobile robot system that fuses data from encoders, IMU, and RTK GPS with 3D LiDAR for robust obstacle detection and stable traversal of uneven terrain. While his citation counts are currently modest—3 and 2 citations respectively—his contributions are foundational to the practical deployment of autonomous material handling systems. Park’s work demonstrates a clear trajectory from indoor logistics to challenging outdoor navigation, addressing critical gaps in multi-robot coordination and localization accuracy that are essential for the next generation of industrial and field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2