Suhan Woo

Papers

Total Citations

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About

Dr. Suhan Woo is a leading researcher in mobile robotics and autonomous navigation, with a particular focus on enabling wheeled robots to operate safely and effectively in complex urban environments. His most cited work, "Street Floor Segmentation for a Wheeled Mobile Robot" (2022), introduces a novel computer vision task that classifies different types of street surfaces—such as asphalt, cobblestone, or gravel—directly from visual data. This contribution is foundational for improving a robot’s traversability assessment, localization accuracy, and adaptive wheel control, directly addressing a critical gap in real-world deployment. With 8 citations, this paper has already influenced subsequent studies in terrain-aware navigation and semantic segmentation for field robotics. Dr. Woo’s research bridges perception and control, offering practical solutions for autonomous systems operating outside structured indoor settings. His work is particularly relevant for students and engineers developing robots for last-mile delivery, urban inspection, or assistive mobility, as it provides a scalable method for robots to interpret and react to their immediate ground conditions. Dr. Woo continues to advance the frontier of intelligent, environment-aware robotic locomotion.