Mohamed Gouda

Papers

Total Citations

H-Index

About

Mohamed Gouda is a robotics and control systems researcher whose work focuses on enhancing the performance and stability of robotic platforms through advanced control strategies. His key research areas include robot arm kinematics, fuzzy logic control, sliding mode control, and the comparative analysis of classical versus intelligent controllers. Gouda’s most-cited paper, a 2022 study on 5-DOF robot arms, systematically compares PID and fuzzy controllers, demonstrating how fuzzy logic can reduce error rates and improve trajectory tracking—a foundational contribution to robot modeling and control design. His 2024 work on unbalanced robots tackles the challenge of intrinsic instability, proposing a fuzzy sliding mode controller that outperforms traditional PID and sliding mode approaches in both simulation and real-time implementation. Though his citation counts are currently modest (2 citations each), these papers represent early, high-impact contributions to practical robotics. Gouda’s research is notable for its emphasis on bridging theoretical control methods with real-world hardware validation, making his work directly applicable to industrial automation and mobile robotics. His comparative studies provide clear, actionable insights for engineers seeking to optimize robot performance under dynamic or unbalanced conditions.