Hong Mun Li

Monash University, Beijing Information Science & Technology University

Papers

Total Citations

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About

Hong Mun Li is a researcher whose work sits at the intersection of mobile robotics and intelligent sensing, with a particular focus on low-cost, practical solutions for robot perception and navigation. In a foundational 2002 paper, Li introduced a novel low-sample-rate 3D sonar sensor that used three ultrasonic transducers arranged in an equilateral triangle to identify and localize planes, 2D corners, and 3D corners. By employing a maximum likelihood estimator, this work demonstrated how to extract rich spatial information from sparse acoustic data—a contribution that remains relevant, with 19 citations. More recently, Li has turned to modern software frameworks, contributing to the advancement of Simultaneous Localization and Mapping (SLAM) technology using the Robot Operating System (ROS). This 2021 work reflects a commitment to bridging theoretical robotics with accessible, real-world deployment. Li’s research trajectory—from clever sensor design to contemporary SLAM implementation—showcases a career dedicated to making robots more aware of their environments, using both hardware ingenuity and software integration.