Hassan Salarieh

Sharif University of Technology

Papers

28

Total Citations

404

H-Index

12

About

Hassan Salarieh is a prominent researcher whose work sits at the intersection of robotics, control systems, and medical technology, with a particular focus on teleoperation, rehabilitation robotics, and advanced impedance control. His most significant contributions center on developing sophisticated bilateral impedance control frameworks for multi-degree-of-freedom teleoperation systems, enabling safer and more intuitive human-robot interaction across applications ranging from telesurgery to remote rehabilitation. Salarieh's most cited work, "Cooperative Modalities in Robotic Tele-Rehabilitation" (2017, 68 citations), exemplifies his dedication to clinically meaningful robotics, while his series of papers on nonlinear bilateral adaptive impedance control has established foundational theory for handling time delays and stability challenges in teleoperation — critical barriers to real-world deployment. His research on beating-heart robotic surgery and tele-echography of moving organs demonstrates his ambition to push robotic assistance into complex, life-critical medical environments. Beyond medical robotics, Salarieh has contributed to bio-inspired locomotion through biped robot design and explored micro-robotics via piezoelectric-actuated systems. His assist-as-needed rehabilitation framework reflects a nuanced understanding of patient-centered care. With a body of work accumulating over 280 citations, Salarieh has meaningfully advanced the theoretical and practical landscape of intelligent robotic control systems.

Research Focus

Key Achievements

12
H-Index
28
Papers
404
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative modalities in robotic tele-rehabilitation using nonlinear bilateral impedance control
68 citations · 2017
📈 Most Prolific Year: 2017 (6 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Sharif University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago