Baehoon Choi

Hellenic Petroleum (Greece), Yonsei University

Papers

Total Citations

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About

Baehoon Choi is a robotics researcher whose work focuses on indoor mobile robot navigation, localization, and collision avoidance. His most-cited contributions center on developing practical sensor fusion and motion planning algorithms for service and transport robots operating in cluttered, dynamic indoor environments. Choi’s 2011 paper on location estimation and obstacle tracking introduced a Sequential Monte Carlo method that matches laser scanner measurements with known map data to simultaneously localize a robot and track multiple obstacles, enabling proactive collision risk assessment. His 2012 work on a modified dynamic window approach adapts the popular collision avoidance algorithm for crowded indoor settings, refining the objective function to better balance heading, obstacle distance, and velocity. Another 2012 paper addresses the limitations of laser scanners in highly cluttered spaces by fusing them with vision markers for more robust indoor localization. Though his citation counts are modest, Choi’s research addresses fundamental challenges in making mobile robots safe and reliable in human environments—work that is increasingly relevant as service robots become more common in hospitals, warehouses, and public spaces.