Seung-Wan Ma

Papers

Total Citations

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About

Dr. Seung-Wan Ma is a robotics researcher whose work centers on sensor fusion and perception systems for mobile service robots, with a particular focus on enabling autonomous navigation in complex indoor environments. His most cited paper, “Robust Elevator Door Recognition using LRF and Camera” (2012, 9 citations), addresses a critical challenge for robots operating in multi-story buildings: reliably detecting elevator doors to facilitate floor-to-floor movement. In this work, Ma proposed an innovative sensor fusion approach combining a Laser Range Finder (LRF) and a camera, using laser scans to extract line segments and identify candidate door regions, which are then verified through visual data. This contribution exemplifies his broader interest in integrating complementary sensing modalities to overcome the limitations of individual sensors, thereby enhancing robot robustness in real-world settings. While his citation count is modest, Ma’s research holds practical significance for the service robotics industry, where reliable elevator interaction remains a key hurdle. His work demonstrates a methodical approach to solving specific, high-impact problems in mobile robot navigation, laying groundwork for future advancements in autonomous building traversal.