Seoungwoo Lee

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About

Seoungwoo Lee is a robotics and autonomous systems researcher whose work centers on outdoor mobile robot navigation, LiDAR-based simultaneous localization and mapping (SLAM), and the integration of open-source autonomous driving frameworks. His research addresses the practical challenges of deploying autonomous mobile robots in real-world outdoor environments, particularly for last-mile delivery applications on sidewalks and urban pathways. Lee's most notable contributions include developing and validating autonomous navigation pipelines that combine LiDAR SLAM with platforms such as Autoware, bridging the gap between isolated research components — map generation, path planning, and vehicle control — into cohesive, deployable systems. His 2022 comparative survey of LiDAR SLAM techniques provided researchers and practitioners with a structured evaluation of 3D mapping approaches, establishing a useful benchmark for selecting appropriate methods based on environmental conditions and hardware constraints. With his most cited works accumulating 9 and 8 citations respectively since 2024 and 2022, Lee's research is gaining traction within the robotics community. His emphasis on open-source tools and reproducible hardware setups makes his work particularly valuable for students and engineers seeking accessible entry points into autonomous outdoor robot development.