Giorgy Gunawan
Papers
2
Total Citations
9
H-Index
2
About
Giorgy Gunawan is a researcher in robotics and computer vision, with a focused interest in autonomous systems and real-time image processing for multi-agent environments. His work centers on developing robust algorithms for robot localization and perception, particularly in the dynamic context of robot soccer. Gunawan’s major contributions include pioneering adaptive edge detection and histogram-based color segmentation techniques that enable centralized vision systems to accurately determine the position, role, and orientation of multiple robots on a playing field. His 2016 paper on this topic, which has garnered 7 citations, introduced an innovative use of Otsu’s method for arena detection and adaptive color segmentation for robot identification, addressing key challenges in real-time visual tracking under varying lighting conditions. In a related study, he further explored obtaining multiple robots’ positions and orientations using high-angle camera shots, demonstrating the scalability of his approach. While his citation counts reflect a growing recognition in the field, Gunawan’s work is notable for its practical applications in robotics competitions and autonomous navigation, laying groundwork for more advanced multi-robot coordination systems.
Research Focus
Key Achievements
Top Papers
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