Alireza Akbarzadeh
Papers
83
Total Citations
1,571
H-Index
22
About
Alireza Akbarzadeh is a prominent robotics and control systems researcher whose work spans rehabilitation robotics, parallel mechanisms, prosthetics, and intelligent control. He has made significant contributions to the design and analysis of spatial parallel manipulators, including foundational work on the 3-PSP mechanism and Gough–Stewart platforms, with papers in these areas accumulating over 80 and 60 citations respectively. His research increasingly focuses on human-robot interaction, particularly hip exoskeleton systems that leverage electromyography (EMG) signals and deep learning to predict joint positions and deliver adaptive, patient-responsive assistance — work that has rapidly gained traction with nearly 70 citations since 2022. His comprehensive review of linkage-driven prosthetic hand mechanisms (145 citations) stands as a landmark reference in the field. Notably, Akbarzadeh led the development of the FUM SCARA robot at Ferdowsi University of Mashhad, Iran, demonstrating a commitment to translating research into practical industrial solutions. His work on emotional neural networks and fuzzy impedance control further reflects a sophisticated integration of advanced machine learning with physical robotic systems, making him a versatile and impactful figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
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- 6sEMG-based impedance control for lower-limb rehabilitation robot53 citations · 2017
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- 9Design of an economical SCARA robot for industrial applications45 citations · 2014
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