Yeong Seo Kwon

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About

Yeong Seo Kwon is a robotics researcher whose work centers on cost-effective navigation systems for mobile robots, with a particular focus on magnetic-map-matching techniques and odometry-free localization. His most-cited paper, "Magnetic-map-matching Navigation For Odometry Using Low-cost Mobile Robot" (2020, 2 citations), introduces an innovative approach that eliminates the need for traditional odometry by leveraging control signals and a robot's dynamic model for dead reckoning. This method significantly reduces system costs while addressing navigation errors caused by uncertainties like wheel slippage or uneven terrain. Kwon's contributions are especially valuable for low-cost robotic platforms, where precise positioning is critical but expensive sensors are impractical. His work demonstrates a practical balance between affordability and accuracy, making autonomous navigation more accessible for small-scale or budget-constrained applications. By tackling the challenge of error accumulation in control-input-based navigation, Kwon has laid groundwork for more robust and economical mobile robot systems, appealing to researchers and engineers seeking scalable solutions in field robotics and indoor localization.