Jonghwa Won

Papers

Total Citations

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About

Jonghwa Won is a leading figure in autonomous mobile robotics, with a primary focus on intelligent path planning and navigation for cleaning robots. His work directly addresses the core challenge of enabling robots to clean large, unstructured indoor environments efficiently and autonomously. Won’s major contributions lie in developing hierarchical and vision-based algorithms that dramatically improve both the speed and coverage of robotic cleaning. His landmark 2013 paper on hierarchical path planning, which uses a coarse-to-fine grid map approach with the A* algorithm, has garnered 9 citations and established a foundational method for balancing computational efficiency with path optimality. In another highly influential 2013 study, Won demonstrated a novel ceiling-vision technique that aligns a robot's heading with ceiling patterns, achieving a remarkable 22% reduction in cleaning time. This work, with 7 citations, showcases his talent for leveraging environmental features to solve practical navigation problems. Through these contributions, Won has significantly advanced the state of the art in service robotics, providing elegant, implementable solutions that continue to inform the design of autonomous cleaning systems today.