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About

The University of Shahrood has established itself as a dynamic research institution with deep expertise in robotics, intelligent control systems, and applied artificial intelligence. Located in Iran, the university has cultivated a strong research culture centered on solving real-world engineering challenges through rigorous theoretical foundations and experimental validation. At the heart of Shahrood's robotics research lies a sustained focus on robust and adaptive control of robot manipulators, particularly addressing the complexities of electrically driven systems, flexible-joint robots, and mobile platforms. The institution's researchers have made lasting contributions to voltage control strategies, impedance control, and uncertainty estimation techniques — approaches that have collectively attracted over 1,000 citations and shaped how engineers handle nonlinear dynamics and real-world disturbances in robotic systems. Landmark studies on backstepping sliding mode control for two-wheeled mobile robots and robust impedance control of mobile manipulators have become widely referenced benchmarks in the control engineering community. Beyond classical control, Shahrood has embraced the frontier of machine learning and deep learning applied to robotics. Notable work in facial emotion recognition for social robots, real-time fruit detection for precision agriculture, and EMG-based muscle force estimation for rehabilitation robotics demonstrates the institution's commitment to translating AI advances into tangible human benefit. The development of a knee rehabilitation robot guided by optimized machine learning pipelines exemplifies this applied orientation. Shahrood's researchers also excel in intelligent optimization, employing type-2 fuzzy logic, memetic algorithms, and teaching-learning-based optimization to design controllers that perform reliably under uncertainty. For prospective students and collaborators, the university offers a vibrant, publication-active environment where control theory, AI, and biomedical robotics converge in meaningful and impactful ways.