Tae-il Kim
Papers
5
Total Citations
27
H-Index
3
About
Tae-il Kim is a robotics researcher whose work focuses on vision-based tracking systems for mobile robots, particularly in dynamic environments where both the observer and target are in motion. His major contributions center on developing methods to maintain continuous line-of-sight tracking using stereo cameras mounted on pan/tilt actuators, integrating robot motion data from gyroscopes and wheel encoders with vision information. His most cited paper (13 citations) introduces a vision system that tracks moving targets by combining robot motion and stereo vision, controlling camera orientation to keep targets centered in view. Kim also advanced the field through novel approaches such as using fuzzy logic controllers and Euler angle orientation in feedforward loops to improve tracking stability during fast robot movement, and developing relative and absolute position referencing methods for robot-to-robot tracking. His work addresses critical challenges in autonomous navigation, surveillance, and multi-robot coordination, where reliable visual tracking is essential. Though his citation counts are modest, Kim’s research provides foundational techniques for real-time vision tracking on mobile platforms, contributing practical solutions for maintaining camera focus on moving targets in complex, real-world scenarios.
Research Focus
Key Achievements
Top Papers
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