Ali Ridho Barakbah
Universitas Negeri Surabaya, Politeknik Elektronika Negeri Surabaya
Papers
3
Total Citations
14
H-Index
3
About
Ali Ridho Barakbah is a leading figure in intelligent robotics and computer vision, whose work bridges the gap between autonomous systems and real-world humanitarian needs. His research centers on developing advanced perception and control systems for mobile and humanoid robots, with a particular emphasis on creating practical, efficient solutions. A standout contribution is his "Walking Gait Learning for T-FLoW Humanoid Robot," where he pioneered a rule-based learning method that dramatically accelerates stable gait acquisition—a significant improvement over traditional, time-intensive reinforcement learning. In the realm of 3D computer vision, his "FLoW-Vision" system elevates object recognition and pose estimation from basic 2D to sophisticated 3D perception, enabling robots to replicate more human-like visual skills. Demonstrating the societal impact of his work, Barakbah developed a navigation system for holonomic mobile robots designed to deliver logistics to COVID-19 patients, directly reducing contact risk for healthcare workers. With his most-cited papers each garnering 4-5 citations, Barakbah’s research is not only technically innovative but also profoundly applied, showcasing how robotics can serve critical public health and operational challenges.
Research Focus
Key Achievements
Top Papers
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