Hak-Kyung Sung

Papers

Total Citations

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About

Hak-Kyung Sung is a robotics researcher whose work focuses on sensor-based navigation and mobile robot control, with particular emphasis on heading estimation and autonomous systems for industrial applications. His most cited paper, "Particle filter-based heading estimation using magnetic compasses for mobile robot navigation" (2006, 21 citations), introduces a robust method that combines particle filtering with magnetic compasses to provide accurate heading information—critical for mobile device and robot navigation. This contribution addresses the inherent limitations of magnetic compasses by leveraging probabilistic filtering to enhance reliability in real-world environments. Sung's earlier work, "Sensor-based navigation control and calibration of a wafer-handling mobile robot" (2002, 4 citations), demonstrates his applied focus on industrial automation, proposing a mobile robot system that integrates an automated guided vehicle with a six-degree-of-freedom manipulator for semiconductor manufacturing. This system uses predefined maps for route navigation, showcasing Sung's ability to bridge theoretical estimation techniques with practical, high-precision tasks. Though his citation counts are modest, Sung's contributions to particle filtering for heading estimation and industrial mobile robotics offer foundational insights for researchers developing autonomous navigation systems in constrained, accuracy-demanding environments.