Yang Sok Kim
Papers
1
Total Citations
2
H-Index
1
About
Yang Sok Kim is a robotics researcher whose work centers on computer vision and autonomous systems, with a particular focus on illumination identification for robotic platforms. His most cited paper, "An Illumination Identification System for the AIBO Robot" (2007), addresses a critical challenge in the RoboCup Four Legged League: the reliance of vision systems on color-based object identification, which requires frequent calibration under changing lighting conditions. Kim’s contribution lies in developing a method to automatically detect and adapt to illumination variations, enhancing the robustness of AIBO robots in dynamic environments. While his citation count is modest, his work has practical significance for robotics competitions and real-world applications where consistent color perception is vital. Kim’s research underscores the importance of environmental adaptation in autonomous systems, offering insights for students and researchers working on vision-based robotics, sensor calibration, and machine learning for real-time decision-making. His efforts contribute to advancing the reliability of robotic perception in uncontrolled settings.
Research Focus
Key Achievements
Top Papers
- 1An Illumination Identification System for the AIBO Robot2 citations · 2007