Fernando Ardila

Universitas Negeri Surabaya, Politeknik Elektronika Negeri Surabaya

Papers

Total Citations

H-Index

About

Fernando Ardila’s research lies at the intersection of robotics, computer vision, and control systems, with a focus on enabling autonomous mobile robots to perceive and interact with dynamic environments. His most cited work, “Visual Perception System of EROS Humanoid Robot Soccer” (2020, 7 citations), addresses the challenge of robust ball and field detection under RoboCup’s evolving rules. By integrating improved color segmentation and image morphology with machine learning algorithms, Ardila advanced real-time visual perception for humanoid robots—a critical step toward more adaptive and competitive autonomous systems. In his second key paper, “Sistem Kendali Kecepatan Motor pada Mobile Robot Menggunakan PID dan Analisis Disturbance Berbasis Disturbance Observer” (2018, 4 citations), he tackled speed control instability in mobile robots by combining PID controllers with disturbance observer analysis. This work demonstrates his commitment to practical, disturbance-resilient control strategies. Though his citation counts reflect an early-career trajectory, Ardila’s contributions are notable for their direct application in competitive robotics (RoboCup) and for bridging classical control theory with modern perception techniques—a foundation for future innovations in autonomous navigation and humanoid robotics.