Kyoung-Youb Kwon

Papers

Total Citations

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About

Kyoung-Youb Kwon is a robotics researcher specializing in autonomous navigation and obstacle avoidance for underwater vehicles. His work focuses on adapting and modifying established mobile robot algorithms for the challenging underwater environment, where visibility is limited and dynamic obstacles like marine life and other submersibles pose constant threats. Kwon’s major contributions include the development of a Modified Virtual Force Field (MVFF) algorithm, which adapts the widely-used VFF method for underwater robots, enabling them to navigate safely among multiple moving obstacles. He also pioneered the application of fuzzy logic to underwater robot navigation, creating intelligent decision-making systems that handle the uncertainty inherent in aquatic environments. While his most-cited papers each have 2 citations, their foundational nature in the niche field of underwater robotics makes them important references for researchers working on autonomous marine systems. Kwon’s work represents a critical bridge between terrestrial mobile robot navigation and the unique challenges of underwater autonomy, providing practical solutions for obstacle avoidance and path planning in one of the most difficult environments for robotic navigation.