Dwi Agung Ayubi
Papers
1
Total Citations
16
H-Index
1
About
Dwi Agung Ayubi is a researcher at the forefront of robotics and computer vision, with a particular focus on real-time human-robot interaction. His most cited work, "Pendeteksi Wajah Secara Real Time pada 2 Degree of Freedom (DOF) Kepala Robot Menggunakan Deep Integral Image Cascade" (2020), has garnered 16 citations and demonstrates his core contribution: integrating deep learning with efficient cascade algorithms to enable robots to detect and track human faces in real-time. This innovation is critical for developing more intuitive and responsive robotic systems, allowing machines to mimic human-like interaction by dynamically adjusting their "head" movements. Ayubi’s research addresses a fundamental challenge in modern robotics—creating machines that can perceive and react to people naturally. His work on the 2 DOF robotic head system showcases a practical application of deep integral image cascades, significantly improving processing speed and accuracy. By bridging advanced computer vision techniques with mechanical control, Ayubi is helping to pave the way for the next generation of socially aware robots, making his contributions highly relevant for students and researchers interested in intelligent, interactive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1