Shung Han Cho

Papers

Total Citations

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About

Shung Han Cho is a researcher whose work lies at the intersection of robotics, sensor-based navigation, and intelligent systems. His most-cited paper, "Map based indoor robot navigation and localization using laser range finder" (2010, 21 citations), introduces a novel algorithm that leverages grid-based path planning and vertex-represented global maps to enable precise indoor robot localization. This contribution is particularly significant for autonomous systems operating in GPS-denied environments, offering a practical framework for real-time navigation using laser range finders. By simplifying map representation into navigable grids, Cho’s approach enhances both path planning efficiency and localization accuracy, making it a foundational reference for subsequent work in indoor robotics. His research demonstrates a clear impact on the development of cost-effective, reliable navigation solutions, with applications ranging from service robots to automated warehouses. Cho’s work continues to influence engineers and researchers seeking robust localization methods in constrained indoor spaces, underscoring his role in advancing practical, map-based robotic autonomy.