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About

Seyyed Arash Haghpanah is a pioneering researcher in the intersection of rehabilitation robotics and intelligent control systems. His work focuses on developing advanced robotic solutions for neurorehabilitation and biomedical applications, with particular emphasis on upper limb assistive technologies and microrobotic navigation. Haghpanah’s major contributions include the design and fabrication of the Smart RoboWrist, a three-degree-of-freedom wrist exoskeleton robot that precisely replicates anatomical movements—flexion/extension, abduction/adduction, and pronation/supination—using four stepper motors. This innovative device, detailed in his 2015 paper (7 citations), represents a significant step in robot-assisted therapy for stroke and injury patients. More recently, he has advanced the field with adaptive neuro-fuzzy sliding mode control for human upper limb dynamics during wheelchair propulsion, integrating synergy-based extended Kalman filtering to estimate continuous joint movements (2024, 6 citations). His work on optimal robust navigation control for endovascular microrobots (2020, 2 citations) further demonstrates his versatility in applying control theory to minimally invasive medical procedures. With a growing citation impact, Haghpanah’s research bridges mechanical design, intelligent control, and clinical rehabilitation, offering promising pathways for next-generation assistive technologies.