Naser Mehrabi

University of Waterloo

Papers

1

Total Citations

25

H-Index

1

About

Dr. Naser Mehrabi is a leading figure in rehabilitation robotics, specializing in the intersection of nonlinear control systems and human-robot interaction for stroke recovery. His most influential work, "Nonlinear model predictive control of an upper extremity rehabilitation robot using a two-dimensional human-robot interaction model" (2017, 25 citations), pioneers a sophisticated control framework that anticipates and adapts to a patient’s movements in real time. This approach directly addresses a critical challenge in the field: delivering high-intensity, repetitive therapy while minimizing the need for constant therapist oversight. By modeling the complex dynamics between a robot and a human limb, Dr. Mehrabi’s research enables safer, more effective, and more autonomous rehabilitation sessions, suitable for both clinical and home settings. His contributions are foundational to the development of next-generation robotic exoskeletons and end-effector devices that can personalize therapy, reduce healthcare costs, and expand access to quality care for post-stroke patients. Through this work, Dr. Mehrabi is helping to transform rehabilitation from a resource-intensive process into a scalable, technology-driven solution.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear model predictive control of an upper extremity rehabilitation robot using a two-dimensional human-robot interaction model
25 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Waterloo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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