Heung Seok Jeon
Papers
5
Total Citations
16
H-Index
3
About
Heung Seok Jeon is a robotics researcher whose work focuses on autonomous mobile robot exploration, mapping, and path planning in unknown environments. His major contributions center on developing efficient algorithms that enable robots to navigate and map unfamiliar spaces with minimal computational overhead. Jeon's most cited work, "A Low Overhead Mapping Scheme for Exploration and Representation in the Unknown Area" (2019, 6 citations), addresses the critical challenge of reducing memory consumption in grid-based mapping for SLAM processes. He further advanced the field with his "Optimized Frontier-Based Path Planning Using the TAD Algorithm" (2024, 3 citations), which introduces a novel method leveraging trapezoid, adjacent, and distance characteristics of frontiers for efficient exploration. Jeon also developed the Rmap+ algorithm (2022, 2 citations), an improved version of previous frontier-based methods that significantly reduces exploration overhead. His research has practical implications for cleaning robots, harvesting robots, and other intelligent systems requiring autonomous navigation. Through his systematic approach to frontier-based exploration and mapping optimization, Jeon has contributed foundational techniques that help mobile robots operate more effectively in real-world, unknown environments.
Research Focus
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Top Papers
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