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About

Woo-Jin Seo is a robotics and localization researcher whose work centers on developing precise positioning systems for mobile robots operating in complex indoor environments. His research spans inertial navigation, sensor fusion, and multi-modal localization, combining technologies such as IMUs, wheel encoders, ultrasonic sensors, Bluetooth, and magnetic field mapping to address the persistent challenge of accurate indoor positioning where GPS signals are unavailable. Seo's most influential contribution, "A Dead Reckoning Localization System for Mobile Robots Using Inertial Sensors and Wheel Revolution Encoding" (2011), has accumulated 112 citations and established a foundational approach to odometry-based navigation. Building on this work, his 2017 study on magnetic field map navigation (58 citations) demonstrated how natural variations in indoor magnetic fields — caused by building structures — can serve as a reliable positioning fingerprint, offering a passive and infrastructure-light localization strategy. Across his body of work, Seo has consistently explored complementary sensor fusion strategies, integrating ultrasonic local positioning systems, Bluetooth RSSI data, and anemometer-assisted dead reckoning to improve robustness and reduce cumulative drift errors. His research is particularly valuable for students and engineers developing autonomous indoor robots, offering practical, implementable solutions across a range of sensing modalities and environments.