Abubakar Ashraf

Papers

Total Citations

H-Index

About

Abubakar Ashraf is a researcher focused on the intersection of embedded systems, control theory, and intelligent automation. His work is particularly noted for integrating fuzzy logic control with low-cost, accessible hardware platforms, making advanced control techniques more practical for educational and prototyping environments. His most-cited paper, "Arduino Line Follower Using Fuzzy Logic Control" (2022), has garnered 4 citations, demonstrating early impact in the field of mobile robotics and autonomous navigation. This contribution exemplifies his ability to simplify complex control algorithms—such as fuzzy inference systems—for implementation on microcontrollers, bridging the gap between theoretical control design and real-world application. Ashraf’s research is valuable for students and hobbyists seeking to understand how intelligent decision-making can be embedded in resource-constrained devices. His work not only advances the practical deployment of fuzzy logic in robotics but also serves as a foundational reference for those exploring low-cost automation, sensor integration, and adaptive control systems.