Nafise Faridi Rad

Amirkabir University of Technology, University of Tehran

Papers

Total Citations

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About

Nafise Faridi Rad is a robotics researcher whose work bridges intelligent control, soft actuation, and cable-driven mechanisms. Her key research areas include adaptive neuro-fuzzy control systems, shape memory alloy (SMA) actuators, and parallel cable robots. Her most cited paper, "Robust control of a 3-DOF parallel cable robot using an adaptive neuro-fuzzy inference system" (2017, 26 citations), addresses the unique control challenges of cable-driven parallel robots, which combine the benefits of serial and parallel manipulators without their structural constraints. By integrating adaptive neuro-fuzzy inference systems, she developed robust control strategies for these flexible, cable-based systems. In another notable contribution, "Design and fabrication of a gripper actuated by shape memory alloy spring" (2016, 12 citations), Faridi Rad designed a novel micro-gripper for surgical applications, leveraging the small size and lightweight properties of SMA springs to achieve both closing and opening motions. Her work is significant for advancing the precision and adaptability of robotic systems in constrained environments, particularly in medical robotics. With a growing citation impact, Faridi Rad’s research continues to influence developments in soft robotics and intelligent control systems.