Adelia Nur Fitriana

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About

Adelia Nur Fitriana is a researcher whose work lies at the intersection of computer vision, robotics, and real-time object detection. Her key research areas include color-based image segmentation, feature detection, and autonomous robotic systems, with a particular focus on applications in mobile robotics. Her most cited work, "Color-based segmentation and feature detection for ball and goal post on mobile soccer robot game field" (2016, 23 citations), presents a pioneering real-time implementation of object detection and tracking algorithms specifically designed for soccer-playing robots. This study addresses a critical challenge in robotic soccer: reliably identifying the ball and goal posts—the game’s fundamental elements—under dynamic field conditions. By combining color-based segmentation with feature detection, Fitriana’s system enables robots to perceive and react to their environment with greater accuracy and speed. Her contributions have practical implications for autonomous navigation and human-robot interaction, and her work continues to influence researchers developing vision systems for competitive robotics. With her focus on bridging computer vision and real-world robotic performance, Fitriana stands out as a notable figure in applied robotics research.