Papers
15
Total Citations
182
H-Index
7
About
Hung-Hsing Lin is a robotics and autonomous systems researcher whose work has significantly advanced the field of mobile robot localization, navigation, and pose estimation. His research centers on developing intelligent sensor fusion algorithms — particularly fuzzy adaptive extended information filtering (FAEIF) — to enable autonomous mobile robots to accurately determine their position and orientation in real-world environments. Lin's most influential contribution, his 2008 paper on ultrasonic localization and pose tracking (59 citations), introduced a sophisticated FAEIF framework combining ultrasonic sensor arrays with adaptive filtering techniques, building upon foundational work he established as early as 2004. His research consistently integrates diverse sensing modalities — including ultrasonic arrays, laser scanners, inertial measurement units, and RFID systems — demonstrating a comprehensive, multisensor approach to robust robot localization. Beyond localization, Lin extended his expertise to trajectory tracking control, omni-directional platform navigation, and autonomous mapping, culminating in practical applications such as tour-guide robots capable of operating reliably in dynamic indoor environments. With over 160 cumulative citations across his key publications, Lin's work bridges theoretical filtering methodologies and real-world robotics implementation, making his research particularly valuable for engineers and students tackling autonomous navigation challenges in unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 3Trajectory tracking control of a laser-guided wheeled mobile robot19 citations · 2005
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- 7Hybrid navigation of a four-wheeled tour-guide robot8 citations · 2009
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