Ilham Fakhrul Arifin
Papers
2
Total Citations
10
H-Index
2
About
Ilham Fakhrul Arifin is a robotics researcher specializing in humanoid robot perception, control, and autonomous decision-making, with a primary focus on RoboCup soccer applications. His work addresses two critical challenges in humanoid robotics: visual perception and balance recovery. In his most-cited paper (2020, 7 citations), Arifin developed a sophisticated visual perception system for the EROS humanoid robot that integrates color segmentation, image morphology, and machine learning to improve ball and field detection under new RoboCup rules. His earlier work (2018, 3 citations) tackled the problem of balance recovery in dynamic environments, proposing a slight-movement strategy to handle moderate disturbances—an improvement over methods limited to small perturbations. These contributions are foundational for enabling humanoid robots to operate reliably in fast-paced, unpredictable settings like soccer matches. Arifin’s research bridges computer vision and control theory, demonstrating how practical robotics challenges can be addressed through incremental, hardware-aware innovations. His work is particularly valuable for students and researchers in autonomous robotics, offering clear examples of how perception and stability systems must co-evolve to achieve robust real-world performance.
Research Focus
Key Achievements
Top Papers
- 1Visual Perception System of EROS Humanoid Robot Soccer7 citations · 2020
- 2