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About

Reza Shisheie’s research focuses on the design, modeling, and control of twisted string actuation (TSA) systems for assistive robotic devices, particularly for upper arm rehabilitation. His major contributions include pioneering the use of lightweight, cable-driven mechanisms—such as fishing line strands—to create compact, wearable robots that help post-stroke patients regain mobility. Shisheie developed novel TSA models that account for nonlinear dynamics and system uncertainties, and he fabricated several prototypes with bidirectional, antagonistic actuation for precise, multi-axial motion control. His work on controller synthesis introduced adaptive robust strategies to compensate for dead-zones and operational challenges, enabling high-accuracy assistance during goal-directed movements. With over 46 citations across his most-cited papers, Shisheie’s research has advanced the practicality of soft, cable-based actuation in rehabilitation robotics. Notably, his 2013 study on the “Design and fabrication of an assistive device for arm rehabilitation using twisted string system” (18 citations) remains a foundational reference for lightweight, low-cost therapeutic devices. By integrating human motion analysis with multi-axial control algorithms, Shisheie has helped bridge the gap between theoretical actuation models and real-world clinical applications, making rehabilitation more accessible and effective.