Arefeh Sajedifar

Iran University of Science and Technology

Papers

Total Citations

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About

Arefeh Sajedifar is a researcher at the forefront of rehabilitation robotics, specializing in the dynamic modeling and advanced control of wearable robotic systems. Her work focuses on enhancing the efficiency and practicality of lower-limb physiotherapy devices, addressing critical challenges such as mechanical complexity and patient load. In her highly cited 2024 paper, "Dynamic Modelling and Optimal Sliding Mode Control of the Wearable Rehabilitative Bipedal Cable Robot with 7 Degrees of Freedom," Sajedifar introduces an innovative cable-driven robot design that eliminates bulky joint-mounted motors, reducing system weight and improving user comfort. By integrating optimal sliding mode control, she achieves robust trajectory tracking and stability, offering a more effective and less intrusive solution for gait rehabilitation. This contribution has already garnered 4 citations, signaling its growing impact in the field. Sajedifar’s work bridges the gap between theoretical control strategies and practical wearable devices, paving the way for smarter, more accessible robotic rehabilitation technologies that can significantly improve patient outcomes.