Ahmed Abubaker

King Fahd University of Petroleum and Minerals

Papers

Total Citations

H-Index

About

Ahmed Abubaker is a rising researcher at the forefront of intelligent control systems and multi-domain robotics. His primary contributions lie in advancing fractional-order control theory and heterogeneous robot swarm coordination for industrial automation. In his highly cited 2024 work (23 citations), Abubaker pioneered a comparative analysis of fractional-order PID (FO-PID) controllers against standard PID controllers for nonlinear robotic arm manipulators, employing genetic algorithm optimization to demonstrate superior precision and adaptability—a breakthrough for complex manufacturing tasks. His 2025 study on multi-domain robot swarms (4 citations) tackles the formidable challenge of integrating ground-mobile vehicles with drone UAVs for indoor mapping and asset monitoring in obstacle-rich industrial environments. This work introduces self-reinforcement learning strategies to enable autonomous exploration, addressing critical gaps in real-time environmental perception and swarm resilience. Abubaker’s research directly impacts the future of smart factories, where precise control and collaborative autonomy are essential. With his innovative fusion of fractional calculus and swarm intelligence, he is establishing himself as a key voice in next-generation robotics, offering practical solutions for the autonomous industrial systems of tomorrow.