Farhan Fadhillah Sanubari
Papers
1
Total Citations
2
H-Index
1
About
Farhan Fadhillah Sanubari is a researcher specializing in robotics and computer vision, with a particular focus on object detection for autonomous systems. His key research areas include the application of deep learning methods, such as You Only Look Once (YOLO), to enhance the perceptual capabilities of wheeled soccer robots. In his most-cited work, "Deteksi Bola dan Gawang dengan Metode YOLO Menggunakan Kamera Omnidirectional pada Robot KRSBI-B" (2022), Sanubari made a notable contribution by enabling a robot to simultaneously detect both a ball and a goal on a green field using an omnidirectional camera. This achievement represents a significant step forward in multi-object detection for competitive robotics, allowing for more sophisticated and responsive gameplay. With 2 citations, this study has laid groundwork for further advancements in the field. Sanubari’s work is particularly relevant to students and researchers interested in integrating computer vision with real-time robotic control, demonstrating how YOLO can be adapted for dynamic, resource-constrained environments.
Research Focus
Key Achievements
Top Papers
- 1