Nariman Sepehri

University of Manitoba, University of British Columbia

Papers

38

Total Citations

741

H-Index

17

About

Nariman Sepehri is a distinguished robotics and control systems researcher whose work spans hydraulic actuation, surgical robotics, and mobile robot systems. Best known for his pioneering contributions to hydraulic manipulator control, Sepehri's landmark 1997 paper on position-based impedance control of industrial hydraulic manipulators — garnering over 100 citations — addressed a fundamentally challenging problem that had long eluded researchers focused primarily on electrically driven systems. His early cascade control framework for hydraulically actuated robots established foundational dynamic modeling principles still referenced today. Sepehri has also made significant strides in advanced control strategies, including LuGre friction model compensation for hydraulic actuators and fuzzy logic control, demonstrating a commitment to solving real-world nonlinearities in complex mechanical systems. More recently, his research has expanded into surgical and medical robotics, with notable studies quantifying workspace and force requirements for robot-assisted neurosurgery and evaluating haptic hand-controllers for surgical applications — work that directly informs safer, more effective robotic surgical systems. His contributions extend further to electrohydrostatic actuation and wheeled mobile robot calibration, reflecting remarkable breadth. With a body of work consistently bridging theoretical rigor and practical application, Sepehri remains an influential voice across multiple robotics disciplines.

Research Focus

Key Achievements

17
H-Index
38
Papers
741
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Position-based impedance control of an industrial hydraulic manipulator
104 citations · 1997
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 57
🏛 Institutions: University of Manitoba, University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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