Alwan Abdul Zaki

Sunan Gunung Djati State Islamic University Bandung

Papers

Total Citations

H-Index

About

Alwan Abdul Zaki is a researcher specializing in robotics and intelligent control systems, with a particular focus on fuzzy logic applications for autonomous navigation. His most-cited work, "Modeling Wall Tracer Robot Motion Based on Fuzzy Logic Control" (2020, 10 citations), addresses a critical challenge in industrial and manufacturing automation: enabling robots to accurately follow walls in dynamic environments. By developing a fuzzy logic-based control model, Zaki provides a robust solution to the instability and imprecision that often plague traditional wall-tracing algorithms. This contribution is especially valuable for applications in infrastructure inspection, warehouse logistics, and hazardous environment exploration, where reliable autonomous movement is essential. His research bridges the gap between theoretical control systems and practical robotic deployment, offering a computationally efficient approach that adapts to real-world uncertainties. While his citation count reflects the niche but growing interest in this specialized area, Zaki's work represents a foundational step toward more intelligent and adaptable mobile robots. For students and researchers in robotics and control engineering, his paper serves as a clear example of how fuzzy logic can enhance machine perception and decision-making in constrained environments.