Cheol Won Lee

Papers

Total Citations

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About

Cheol Won Lee is a robotics researcher whose work focuses on efficient spatial mapping for autonomous mobile robots. His primary research areas include simultaneous localization and mapping (SLAM), grid-based map representation, and low-overhead exploration strategies. Lee's most notable contribution is his 2019 paper, "A Low Overhead Mapping Scheme for Exploration and Representation in the Unknown Area," which addresses a critical bottleneck in robotics: the memory and computational overhead caused by high-resolution grid maps. By proposing a novel mapping scheme that reduces the number of cells needed while preserving detailed representation, Lee enables more efficient exploration and map storage for resource-constrained robots. This work has garnered 6 citations, reflecting its relevance to researchers tackling scalability in SLAM systems. Lee's approach is particularly valuable for long-duration autonomous missions where memory efficiency is paramount. His research bridges the gap between detailed environmental representation and practical deployment, making him a contributor to the advancement of real-world robotic navigation and mapping technologies.