Sang Hyo Woo

Papers

Total Citations

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About

Sang Hyo Woo is a researcher in robotics and autonomous systems, with a primary focus on path planning and navigation algorithms. His most-cited work, "Reference Test Maps for Path Planning Algorithm Test" (2018), has garnered 7 citations, establishing a foundational benchmark for evaluating and comparing path planning methods in mobile robotics. This contribution provides standardized test environments that enable researchers to rigorously assess algorithm performance in terms of efficiency, safety, and robustness. Woo's work addresses a critical need in the field: the lack of consistent evaluation frameworks, which has historically hindered progress in developing reliable autonomous navigation systems. By creating these reference maps, he has helped streamline the testing process, allowing for more reproducible and comparable results across different studies. His research is particularly relevant for applications in autonomous vehicles, drones, and service robots, where reliable path planning is essential. Woo's contributions support the broader goal of advancing intelligent mobility, and his benchmark maps continue to serve as a valuable resource for both academic researchers and industry practitioners working on real-world navigation challenges.