Omar Al-Yagoub

King Fahd University of Petroleum and Minerals

Papers

Total Citations

H-Index

About

Omar Al-Yagoub is a researcher in robotics and embedded systems, with a focus on intelligent control and autonomous navigation. His most-cited work, "Design and implementation of fuzzy-logic based obstacle-avoidance and target-reaching algorithms on NI's embedded-FPGA robotic platform" (2013, 6 citations), introduces novel fuzzy-logic algorithms for mobile robots operating in unknown environments. This research addresses two critical challenges: obstacle avoidance and simultaneous target reaching, implemented on National Instruments' embedded-FPGA platform. By combining fuzzy logic with FPGA-based hardware, Al-Yagoub demonstrates a practical approach to real-time decision-making in robotics, enabling robots to navigate complex, unpredictable spaces without prior maps. His contributions are particularly valuable for applications in search-and-rescue, autonomous exploration, and industrial automation. While his citation count reflects a focused early-career impact, the work stands out for its integration of theoretical fuzzy logic with hardware implementation, offering a replicable framework for embedded robotic systems. Al-Yagoub’s research bridges the gap between algorithm design and physical deployment, making it a useful reference for students and engineers working on low-cost, efficient autonomous platforms.