Seyed Mostafa Rezayat Sorkhabadi
Papers
5
Total Citations
86
H-Index
4
About
Seyed Mostafa Rezayat Sorkhabadi is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on restoring and enhancing human mobility. His work spans the design of intelligent lower-limb exoskeletons and assistive devices, and the development of advanced estimation and control algorithms for personalized gait assistance. A key contribution is his automatic virtual impedance adaptation framework for knee exoskeletons, which enables personalized walking assistance by tuning robotic support in real-time. He has also advanced the assessment of dynamic gait stability using dynamical systems theory, demonstrating how unilateral robotic assistance alters human walking patterns. In a notable 2023 study, he pioneered a method to learn post-stroke gait training strategies directly from physical therapist demonstrations, bridging the gap between clinical expertise and robot-aided rehabilitation. His technical innovations include an invariant extended Kalman filter for robust trunk motion estimation despite sensor misalignment, and the design of a robotic shoe for ankle plantar flexion assistance. With over 86 citations across his most influential works, Sorkhabadi’s research is shaping the future of assistive robotics, making rehabilitation more adaptive, data-driven, and clinically effective.
Research Focus
Key Achievements
Top Papers
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