Dwi Novianto Nugroho
Papers
1
Total Citations
4
H-Index
1
About
Dwi Novianto Nugroho is a researcher focused at the intersection of robotics and computer vision, with a particular emphasis on humanoid soccer robots. His work addresses the critical challenge of real-time object detection in dynamic, competitive environments. His most-cited paper, "Perancangan Sistem Deteksi Objek Bola Dan Gawang Pada Robot Sepakbola Menggunakan Metode Darknet YOLO" (2023), details the development of a system enabling humanoid robots to accurately detect a ball and goalposts during a match. By leveraging the Darknet YOLO framework, Nugroho contributes a practical, high-speed solution for visual perception, a core requirement for autonomous gameplay. This work, which has garnered 4 citations, is foundational for advancing robotic agility and decision-making in sports robotics. His research not only pushes the boundaries of humanoid robot capabilities but also offers insights applicable to broader fields like autonomous navigation and real-time surveillance. For students and researchers, Nugroho’s work exemplifies how deep learning can be effectively deployed on resource-constrained robotic platforms to achieve sophisticated, real-world tasks.
Research Focus
Key Achievements
Top Papers
- 1