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About

Jiyoung Park is a leading researcher in mobile robotics, specializing in localization, sensor fusion, and simultaneous localization and mapping (SLAM). Her work addresses the critical challenge of enabling robots to navigate accurately in complex, real-world environments, particularly on irregular terrain where traditional methods fail. Park’s major contributions include the development of the fuzzy-logic-assisted interacting multiple model (FLAIMM) for mobile robot localization, a pioneering approach that enhances robustness by intelligently switching between estimation models. This work, with 30 citations, remains a cornerstone for adaptive localization systems. She also advanced dead reckoning accuracy through slip detection and compensation using a multiple model approach (15 citations), solving a long-standing problem of position drift on uneven surfaces. In monocular SLAM, Park introduced undelayed initialization for indoor robots (15 citations) and self-calibration of gyroscopes using SLAM (12 citations), significantly improving the reliability of vision-based navigation without external sensors. Her research bridges theoretical estimation theory and practical robotic deployment, making her a key figure in autonomous navigation. Park’s work continues to inspire new generations of roboticists seeking robust, real-time solutions for mobile robot autonomy.