Papers
2
Total Citations
63
H-Index
2
About
Hwan Hur is a leading researcher in mobile robotics and sensor fusion, with a core focus on robust localization under uncertainty and hardware constraints. His work is distinguished by the innovative application of discrete-time \(H_{\infty}\) filtering and observer theory to solve critical problems in autonomous navigation. Hur’s most cited paper (2012, 39 citations) pioneers a localization technique for mobile robots that fuses chirp spread spectrum ranging from wireless sensor networks with inertial measurement unit (IMU) data, providing a resilient solution for indoor environments. He further advanced the field with his 2014 study (24 citations) on unknown input \(H_{\infty}\) observers, which directly addresses the challenge of sensor failure—specifically IMU malfunctions caused by sudden movement or electromagnetic interference. By developing a framework that maintains accurate localization even when sensors degrade, Hur has made a vital contribution to the reliability of autonomous systems. His work is essential reading for engineers and researchers tackling real-world deployment of mobile robots in GPS-denied or failure-prone settings, demonstrating how advanced control theory can bridge the gap between theoretical robustness and practical, fault-tolerant navigation.
Research Focus
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Top Papers
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