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

22
H-Index
83
Papers
1,571
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Robotic hand: A review on linkage-driven finger mechanisms of prosthetic hands and evaluation of the performance criteria
145 citations · 2019
📈 Most Prolific Year: 2015 (12 Papers)
🤝 Key Collaborators: 83
🏛 Institutions: Ferdowsi University of Mashhad

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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