Shirin Fartash Toloue

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About

Shirin Fartash Toloue is a researcher specializing in robotics, intelligent control systems, and fuzzy neural networks. Her work focuses on advancing the precision and adaptability of robotic manipulators, particularly parallel robots, through innovative control methodologies. Her most-cited paper, "Position tracking of a 3-PSP parallel robot using dynamic growing interval type-2 fuzzy neural control" (2015, 29 citations), introduces a novel approach that combines type-2 fuzzy logic with dynamic neural networks to enhance tracking accuracy in complex robotic systems. This contribution addresses critical challenges in real-time control, offering a robust solution for uncertain and nonlinear environments. Toloue’s research has implications for industrial automation, medical robotics, and autonomous systems, where precise motion control is essential. Her work demonstrates a strong interdisciplinary approach, bridging theoretical advances in fuzzy systems with practical robotic applications. With growing recognition in the field, Toloue continues to contribute to the development of smarter, more responsive robotic technologies, making her a notable figure in intelligent control and robotics research.