Mahdi Chavoshian

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About

Mahdi Chavoshian’s research focuses on the modeling, control, and application of pneumatic artificial muscles (PAMs) for rehabilitation robotics. His work addresses critical challenges in human-robot interaction, particularly the need for safe, compliant, and reliable actuation in devices that come into direct contact with the human body. Chavoshian’s most cited paper, “Recurrent neuro-fuzzy model of pneumatic artificial muscle position” (2020, 17 citations), introduces an advanced modeling approach that captures the complex, nonlinear dynamics of PAMs, enabling more precise position control. In a complementary study, he investigated impedance control for isokinetic rehabilitation, experimentally validating a control strategy that prioritizes safety and adaptability during therapeutic exercises. This work is particularly significant for developing rehabilitation robots that can adjust their stiffness and force in real time, ensuring patient comfort and preventing injury. By combining soft actuation with intelligent control, Chavoshian contributes to the next generation of assistive devices that are both powerful and inherently safe, bridging the gap between robotic precision and human-centric design.