Rifqi Amalya Fatekha

Universitas Batam, Politeknik Elektronika Negeri Surabaya

Papers

Total Citations

H-Index

About

Rifqi Amalya Fatekha is a robotics researcher whose work centers on autonomous robot systems, computer vision, and intelligent control — with a particular focus on soccer robotics applications. His most influential contribution, "The Real-Time Object Detection System on Mobile Soccer Robot using YOLO v3" (2019, 16 citations), advanced the field by demonstrating how deep learning-based detection could replace traditional color-filtering methods, enabling robots to reliably identify balls, goals, and field markings in real time. This work reflects a broader shift in robotics perception toward neural network-driven approaches. Complementing this, his 2018 paper on omnidirectional robot soccer (8 citations) tackled the complex challenge of motion control, integrating forward and inverse kinematics with PID controllers and multi-sensor feedback to achieve precise robot maneuvering. His subsequent research on goalkeeper robots — including both English and Indonesian-language publications (2021, 4 citations each) — extended his vision systems expertise to specialized positional roles, demonstrating practical ball-detection pipelines for wheeled robots. Through these contributions, Fatekha has built a cohesive research identity at the intersection of embedded systems, machine vision, and autonomous robotics, with meaningful influence on the Indonesian robotics research community.