Dohyoung Chung

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About

Dohyoung Chung is a pioneering researcher in autonomous mobile robotics, with a primary focus on sensor fusion and dead reckoning navigation systems. His most influential work, "Dead reckoning navigation of a mobile robot using an indirect Kalman filter" (2002, 27 citations), introduced a novel algorithm that fuses encoder and gyroscope data through an indirect Kalman filter scheme. This contribution was foundational for improving the accuracy and reliability of autonomous mobile robot (AMR) localization, particularly in environments where GPS is unavailable. Chung developed an encoder-based navigation algorithm and derived a navigation error model using linear perturbation, enabling more robust state estimation. His work has been widely cited by researchers advancing mobile robot navigation, sensor integration, and autonomous systems. By addressing critical challenges in dead reckoning—such as cumulative drift and sensor noise—Chung’s research has had lasting impact on the fields of robotics and control systems, influencing subsequent developments in indoor navigation and autonomous vehicle technology.