Seung‐Won Oh

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Seung-Won Oh is a researcher specializing in autonomous mobile robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) in dynamic environments. His most influential work addresses the critical challenge of maintaining accurate robot pose estimation and landmark mapping when landmarks themselves are moving or changing. In his 2013 paper, Oh introduced a novel Dynamic EKF-based SLAM framework that leverages the independence of dynamic landmarks to mitigate errors caused by environmental changes. This work, which has accumulated 11 citations, was further extended in his 2014 study on Dynamic EKF-based SLAM for autonomous mobile convergence platforms, garnering 12 citations. Beyond robotics, Oh has contributed to interoperability in computing systems, as demonstrated by his 2012 work on a unified performance authoring tool for heterogeneous devices and protocols. His research bridges theoretical advances in probabilistic robotics with practical implementations for mobile platforms, offering robust solutions for real-world autonomous navigation. Oh’s contributions are particularly valuable for researchers developing robots that must operate reliably in unpredictable, human-centric environments.