Arnold Aribowo
Papers
2
Total Citations
9
H-Index
2
About
Arnold Aribowo is a researcher in robotics and computer vision, with a focus on autonomous systems and real-time image processing. His work centers on developing adaptive algorithms for robot perception, particularly in dynamic environments such as robot soccer arenas. Aribowo's major contributions include pioneering methods for adaptive edge detection and histogram-based color segmentation, enabling centralized vision systems to accurately detect arena boundaries and track multiple robots' positions and orientations. His 2016 paper on adaptive edge detection and histogram color segmentation, cited 7 times, introduces an Otsu's method-based approach for arena detection and a robust color segmentation technique for robot identification. Another notable work from 2016, cited 2 times, addresses the challenge of obtaining multiple robots' positions and orientations using high-angle camera shots, enhancing multi-robot coordination. These contributions are critical for advancing autonomous robotics in competitive and collaborative settings, offering scalable solutions for real-time visual tracking. Aribowo's research has implications beyond robotics, influencing fields like automated surveillance and industrial automation, where adaptive vision systems are essential.
Research Focus
Key Achievements
Top Papers
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