Hyowon Moon

Korea Institute of Science and Technology

Papers

Total Citations

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About

Hyowon Moon is a leading researcher in medical robotics and sensor-driven autonomous systems, with a focus on shape sensing and motion estimation. His pioneering work on fiber Bragg grating (FBG)-based polymer-molded shape sensors, published in 2015 and cited 16 times, introduced a flexible, lightweight alternative to conventional metal-rod-attached optical fibers, enabling precise curvature tracking for minimally invasive surgical robots. This innovation significantly enhances the dexterity and safety of robotic tools in confined anatomical spaces. More recently, Moon has advanced autonomous navigation with his 2024 study on rotational angle estimation using an acceleration sensor array and a real-time detection algorithm, which provides critical instantaneous center of rotation (ICOR) data for skid-steering mobile robots. By overcoming the limitations of cost-effective IMU sensors, his work supports deep learning-based dead-reckoning algorithms, improving wheel slip detection and autonomous mobility. Moon’s contributions bridge surgical precision and robotic autonomy, demonstrating high-impact, application-driven research that continues to shape the future of intelligent robotic systems.