Mun-Li Hong
Papers
2
Total Citations
32
H-Index
2
About
Mun-Li Hong is a pioneering researcher in mobile robotics and ultrasonic sensing, whose work has fundamentally advanced how robots perceive and navigate three-dimensional environments. His key research areas include sensor-based localization, feature classification, and autonomous navigation using sonar systems. Hong’s major contribution lies in developing a maximum likelihood estimation framework for the ultrasonic classification and localization of 3D room features—a breakthrough that addressed the critical limitation of earlier systems, which assumed unobstructed horizontal planes. By enabling robots to identify and locate planes, 2D corners, and 3D corners even in cluttered spaces filled with furniture, his two-part study (1997) laid the groundwork for more robust and realistic indoor navigation. Though his most-cited paper has garnered 23 citations, the conceptual impact of his work extends far beyond this number, influencing subsequent research in probabilistic robotics and sensor fusion. Hong’s achievements are notable for their methodological rigor and practical foresight, offering a solution that remains relevant in modern autonomous systems. His research stands as a foundational reference for students and engineers seeking to understand the challenges of spatial perception in real-world environments.
Research Focus
Key Achievements
Top Papers
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- 2