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About

Yong Woon Park is a robotics researcher whose work focuses on autonomous navigation, ground perception, and control systems for mobile and rescue robots operating in challenging, unstructured environments. His most influential contribution is an adaptive ground segmentation method for real-time mobile robot control, which enables robots to distinguish traversable terrain from obstacles in unknown settings—a critical capability for autonomous navigation. This work has garnered 7 citations and underpins practical advances in field robotics. Park also developed a simulation framework for ubiquitous network environments to design networked robots, cited 6 times, and proposed fuzzy-based speed estimation algorithms for unmanned robot navigation. In the domain of rescue robotics, he contributed kinematic control algorithms and robust controller designs for the Korean rescue robot, a system intended to lift and move impaired patients or soldiers in battlefields, hospitals, and hazardous disaster zones. His research integrates perception, control, and simulation to enhance robot autonomy in real-world, safety-critical applications. With a career spanning foundational work in ground segmentation, networked robotics, and rescue systems, Park’s contributions support the development of more capable, situationally aware robots for exploration, assistance, and emergency response.