Papers

5

Total Citations

42

H-Index

3

About

Mohammad Motaharifar is a researcher whose work sits at the intersection of haptics, robotics, and control systems, with a particular focus on medical applications. His primary research areas include tele-rehabilitation, teleoperation, and surgical robotics, where he develops advanced control strategies to enhance human-robot interaction. Motaharifar’s major contributions are in multilateral tele-rehabilitation systems, where he proposed a framework for simultaneous training and therapy, a concept that has garnered 19 citations and represents a novel approach to patient recovery. He has also advanced the field of teleoperated needle insertion, designing decentralized robust controllers that address challenges like uncertainty and communication delay, a work cited 15 times. Notably, his research extends to ophthalmic surgery, where he has worked on the dynamic calibration and trajectory control of ARASH:ASiST, a haptic device for intraocular surgery training, and robust H∞ control for a parallel robot used in eye telesurgery. These contributions demonstrate his commitment to improving precision and safety in medical robotics. With a citation count exceeding 40 across his top papers, Motaharifar’s work is recognized for its practical impact on teleoperation and rehabilitation technologies.

Research Focus

Key Achievements

3
H-Index
5
Papers
42
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A framework for simultaneous training and therapy in multilateral tele-rehabilitation
19 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Amirkabir University of Technology, K.N.Toosi University of Technology, University of Isfahan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago