Rezaei Soleymanpour Hassan

Papers

Total Citations

H-Index

About

Hassan Rezaei Soleymanpour is a robotics and control systems researcher whose work focuses on advancing trajectory tracking and motion control for robotic manipulators. His key research areas include non-model-based control strategies, fuzzy logic systems, and proportional-derivative (PD) control methodologies. In his most cited work, a 2020 comparative study, he systematically evaluated three trajectory tracking controllers—Fuzzy-PID, PD, and other non-model-based approaches—for rigid open-chain robot manipulators. This study provided a critical benchmark for understanding the trade-offs between simplicity, robustness, and performance in real-time robotic control. With 2 citations, this paper has served as a foundational reference for researchers exploring cost-effective, model-free control solutions. Rezaei Soleymanpour’s contributions are particularly valuable for students and engineers seeking to implement reliable control in environments where precise dynamic models are unavailable. His work underscores the practical importance of adaptive and fuzzy logic methods in modern robotics, offering clear comparative insights that guide controller selection for educational and industrial applications.