Papers
18
Total Citations
269
H-Index
11
About
Su-Yong An is a pioneering roboticist whose research has fundamentally advanced autonomous navigation for service robots operating in complex, multi-floor environments. His work centers on three interconnected domains: simultaneous localization and mapping (SLAM), robust object recognition, and human-robot interaction. An's major contributions include developing navigation strategies that enable service robots to autonomously operate elevators and traverse between floors—a critical capability documented in his most-cited paper (36 citations). He has also made significant advances in SLAM methodology, introducing neuro-evolutionary optimization for implicit model learning and augmented EKF-based approaches that dramatically improve feature map accuracy (24 citations each). His innovative line segment-based indoor mapping techniques, which use Rao-Blackwellized particle filters for compact environmental representation, have garnered substantial attention (23 citations). An's work on fingertip extraction and skin color segmentation for gesture recognition (17 citations) demonstrates his commitment to natural human-robot interaction. With over 200 cumulative citations across his publications, An has established himself as a key figure in mobile robotics, particularly for his practical solutions to real-world deployment challenges in dynamic, multi-level environments.
Research Focus
Key Achievements
Top Papers
- 1Navigation strategy for the service robot in the elevator environment36 citations · 2007
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- 6Line Segment-Based Indoor Mapping with Salient Line Feature Extraction23 citations · 2012
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- 8SLAM with salient line feature extraction in indoor environments21 citations · 2010
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