Sung-Hyun Moon

Korea Advanced Institute of Science and Technology

Papers

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About

Sung-Hyun Moon is a leading researcher in autonomous robotics, specializing in informative path planning (IPP) and multi-robot coordination under dynamic environmental constraints. His work addresses the critical challenge of designing optimal trajectories for robotic sensor platforms—particularly unmanned aerial vehicles (UAVs)—to maximize information gain while navigating real-world constraints like wind fields and vehicle dynamics. Moon’s most-cited paper, “Informative Path Planning and Mapping with Multiple UAVs in Wind Fields” (2018, 14 citations), introduces novel frameworks that decouple the strong coupling between path planning and environmental uncertainty, enabling efficient, real-time mapping and data collection. This foundational contribution has advanced applications in environmental monitoring, disaster response, and precision agriculture. By integrating wind field models into multi-UAV coordination, Moon’s research significantly improves the robustness and energy efficiency of autonomous surveys. His work has garnered attention for bridging theoretical IPP algorithms with practical deployment challenges, earning him recognition as a key innovator in field robotics. For students and researchers, Moon’s studies offer a compelling blueprint for tackling complex, real-world sensing missions with autonomous systems.