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About

Amin Noshadi is a leading researcher in advanced robotics and intelligent control systems, with a primary focus on the modeling and robust control of complex robotic manipulators. His work uniquely bridges theoretical control engineering with practical implementation, particularly for parallel and soft robotic systems. Noshadi’s major contributions include pioneering the integration of Active Force Control (AFC) with fuzzy logic and resolved acceleration control for highly non-linear parallel manipulators, as demonstrated in his most-cited work (59 citations). He has also advanced the field through the development of optimal fractional-order fuzzy PID controllers, validated via Software-in-the-Loop real-time simulations (36 citations), and proposed self-learning algorithms for active disturbance rejection in trajectory tracking tasks (25 citations). More recently, his research has expanded into the emerging domain of soft robotics, focusing on system identification and robust tracking control for 3D-printed soft actuators (11 citations), addressing critical challenges in precision control for applications like cell manipulation and drug delivery. With a consistent record of innovative, citation-impactful publications, Noshadi is recognized for developing computationally efficient, robust control strategies that push the boundaries of both rigid and soft robotic systems.