Yong Hwi Kim

Papers

Total Citations

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About

Yong Hwi Kim is a robotics researcher whose work centers on autonomous mobile robot navigation, with a particular focus on path planning algorithms and obstacle avoidance strategies. His research addresses one of the fundamental challenges in robotics: enabling robots to navigate complex environments safely and efficiently. Kim's most significant contributions lie in advancing the Artificial Potential Field (APF) method, a classical approach to robotic path planning. His 2017 paper introduced a modified APF framework featuring a novel attractive force point, improving navigational reliability in mobile robot systems and earning 25 citations within the field. Building on this, his 2016 work pioneered a hybrid path planning approach that fuses APF with the collision cone method, producing smoother, more computationally efficient trajectories — a contribution recognized with 11 citations. Together, these works reflect Kim's dedication to refining foundational robotics algorithms to meet practical demands such as path smoothness, processing efficiency, and real-world obstacle avoidance. His research is particularly valuable for students and engineers working on autonomous ground vehicles, service robots, and intelligent navigation systems, offering accessible yet technically rigorous enhancements to widely adopted planning frameworks.