Amir-A Amiri-M

University of Kashan, Ferdowsi University of Mashhad

Papers

Total Citations

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About

Amir-A Amiri-M is a robotics and control systems researcher whose work bridges the gap between theoretical robust control and practical mechatronic applications. His primary research areas include robust control design, fuzzy logic modelling, and the control of robotic manipulators and smart actuators. In his most cited work, Amiri-M proposed a practical method for designing robust controllers for SCARA robots using Quantitative Feedback Theory (QFT), addressing critical challenges such as system uncertainties, external disturbances, and payload variations. This work, cited 18 times, provides engineers with a systematic framework for ensuring stability and performance in industrial robotics. In a second influential paper (10 citations), Amiri-M applied Takagi-Sugeno fuzzy modelling and parallel distributed compensation control to conducting polymer actuators—devices used in biomimetic robots and biomedical tools. By tackling the complex electro-chemo-mechanical dynamics of these actuators, which offer advantages over traditional robotic joints by eliminating friction and backlash, his research has advanced the development of more lifelike and precise soft robotic systems. Amiri-M’s contributions are particularly valuable for researchers and students working at the intersection of robust control theory and emerging actuator technologies.