Yumna Yumna

Sunan Gunung Djati State Islamic University Bandung

Papers

Total Citations

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About

Yumna Yumna is a researcher in robotics and computer vision, with a focus on autonomous systems and object tracking. Her most-cited work, "Prototype of Mobile Robot Tracking Object Using Sensor Vision" (2022, 3 citations), introduces a novel approach to developing mobile robots capable of automatically detecting and following objects using vision-based sensors. This research addresses the growing demand for accuracy, effectiveness, and efficiency in automation, contributing to the advancement of intelligent robotic systems. Yumna’s work is particularly relevant to applications in surveillance, logistics, and human-robot interaction, where real-time object tracking is essential. Despite the early stage of her career, her contributions demonstrate a strong foundation in integrating sensor technology with mobile robotics, laying the groundwork for future innovations in autonomous navigation and tracking. Her research highlights the potential of vision-based systems to enhance robotic autonomy, making her a promising emerging voice in the field of robotics engineering.