Erwin Sanjaya Loeminto

Papers

Total Citations

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About

Erwin Sanjaya Loeminto is a researcher whose work lies at the intersection of autonomous robotics and embedded systems, with a particular focus on the Duckietown platform—an open-source project dedicated to self-driving vehicle research and high-level autonomy. His most cited paper, "Pengenalan Traffic Light Pada Robot Mobil Duckietown" (2018, 3 citations), makes a notable contribution to this field by developing a system that enables a Duckiebot—a small autonomous vehicle built with a Raspberry Pi 3 controller and a fisheye lens camera—to detect and respond to traffic lights. This work addresses a fundamental challenge in autonomous navigation: real-time visual recognition and decision-making in constrained environments. While his citation count is modest, the research is significant for its practical implementation within the Duckietown ecosystem, a platform widely used in educational and research settings to teach and test autonomy algorithms. Loeminto’s contribution helps bridge the gap between theoretical computer vision and real-world robotic control, offering a reproducible framework for students and researchers exploring self-driving technologies. His work exemplifies how targeted, platform-specific solutions can advance the broader goal of accessible, scalable autonomous systems.