Fikri Ahmad Fauzi

Sunan Gunung Djati State Islamic University Bandung

Papers

Total Citations

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About

Fikri Ahmad Fauzi is a researcher focused on robotics and autonomous navigation, with particular expertise in fuzzy logic control systems. His most-cited work, "Fuzzy Logic Control for Avoiding Static Obstacle in Autonomous Vehicle Robot" (2021, 11 citations), addresses a fundamental challenge in mobile robotics: enabling autonomous vehicles to navigate safely around static obstacles without human intervention. Fauzi’s contribution lies in applying fuzzy logic—a decision-making framework that mimics human reasoning—to create more adaptive and reliable obstacle avoidance algorithms. This approach allows robots to interpret imprecise sensor data and make smooth, real-time navigation decisions, improving their performance in unstructured environments. His work is situated within the broader context of industrial automation, where reducing human labor through intelligent robotic systems is a key goal. By tackling the core problem of navigation, Fauzi helps advance the development of fully autonomous robots capable of performing complex tasks in dynamic settings. His research has practical implications for warehouse logistics, service robotics, and autonomous vehicles, and his citation record reflects growing interest in efficient, rule-based control strategies for real-world robotic applications.