Papers
2
Total Citations
5
H-Index
1
About
Rut Yatigul is a rising researcher in robotics and autonomous systems, with a focus on sensor fusion and object tracking for environmental applications. Their work centers on enhancing mobile robot localization through the integration of multi-sensor fusion algorithms, combining visual odometry, inertial measurement units (IMU), and wheel odometry via Extended and Unscented Kalman Filters. This foundational research, which has garnered 4 citations since 2024, aims to improve localization accuracy and robustness in indoor environments. Building on this expertise, Yatigul developed Kalman-YOLO, a novel approach that integrates a Kalman filter with the YOLO tracking framework to improve object tracking performance for a beach cleaning robot. This innovative application addresses the critical environmental challenge of ocean waste, which threatens marine life and human health through plastic and chemical contamination. By advancing both the theoretical foundations of robot localization and their practical deployment for environmental cleanup, Yatigul demonstrates a commitment to developing intelligent robotic solutions that can make tangible contributions to sustainability and ecological preservation.
Research Focus
Key Achievements
Top Papers
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