Weihong Fan

University of Hong Kong, National University of Defense Technology

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Total Citations

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About

Weihong Fan is a leading researcher in robotics and autonomous systems, with a primary focus on sensor design, simultaneous localization and mapping (SLAM), and multi-robot coordination. Fan’s foundational work includes the design and calibration of a smart inertial measurement unit (IMU) for autonomous helicopters using MEMS sensors—a compact, low-power, and cost-effective solution that has garnered 23 citations and remains influential for aerial robotics control. Building on this, Fan advanced indoor navigation with a novel RGB-D SLAM method that integrates point–plane constraints, achieving robust pose estimation and map reconstruction in complex environments; this work has earned 19 citations for its practical impact on robot autonomy. Fan has also contributed to multi-robot systems, developing an improved cooperative localization technique that fuses relative bearing observations with motion data to enhance positioning accuracy, even under challenging geometric configurations. With a career dedicated to bridging hardware innovation and algorithmic precision, Fan’s research continues to shape the fields of autonomous navigation, sensor fusion, and collaborative robotics, offering scalable solutions for real-world deployment.