Ilfan Sugianda

Papers

Total Citations

H-Index

About

Ilfan Sugianda is a robotics researcher whose work centers on autonomous systems, computer vision, and embedded computing for competitive robotics. His most cited paper, "PERANCANGAN SISTEM DETEKSI OBJEK PADA ROBOT KRSBI BERBASIS MINI PC RASPBERRY PI 3" (2019), addresses a critical challenge in the Indonesian Robot Contest (KRSBI) Wheeled division—a full-autonomous 3v3 robot football competition. Sugianda’s major contribution lies in designing an object detection system that leverages the Raspberry Pi 3 mini PC to process camera sensor data, enabling robots to perceive and respond to their environment in real time without human intervention. This work directly supports the development of agile, vision-guided autonomous robots capable of dynamic gameplay. While his citation count (3) reflects a focused, early-career impact, the practical significance of his research is evident in its application to competitive robotics, where robust, low-cost embedded vision systems are essential. Sugianda’s efforts exemplify how accessible hardware can be harnessed to advance autonomous navigation and object recognition in resource-constrained settings, offering a valuable foundation for students and researchers exploring embedded AI in robotics.