Seongkyun Jeong
Papers
3
Total Citations
12
H-Index
3
About
Seongkyun Jeong is a researcher advancing the fields of mobile robotics and autonomous navigation, with a focus on enhancing the robustness and accuracy of perception and path planning systems. His work addresses critical challenges in real-world environments, particularly where traditional sensors falter. A key contribution is the development of the Weight-Incorporating A* (WIA*) algorithm, which integrates multi-factor cost functions—including obstacle collision and path distance weights—to significantly improve mobile robot path planning efficiency and safety. In perception, he has proposed novel methods for enhancing pose estimation using multiple graphical markers like ArUco, incorporating spatial and temporal outlier detection to achieve superior accuracy in dynamic settings. Furthermore, his research on GNSS performance enhancement through measurement estimation provides vital solutions for positioning in harsh, signal-degraded environments. With his most cited works accumulating citations from 2023 to 2025, Jeong’s practical, algorithm-driven approaches are gaining recognition for their direct applicability to real-world autonomous systems, marking him as an emerging contributor to robust mobile robotics.
Research Focus
Key Achievements
Top Papers
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