Reza Sharif Razavian
Northeastern University, University of Waterloo, Northern Arizona University
Papers
9
Total Citations
114
H-Index
6
About
Reza Sharif Razavian is a robotics and rehabilitation engineering researcher whose work spans human-robot interaction, assistive technology, and biomechanics. His research is particularly focused on developing intelligent control systems for rehabilitation robots and lower-limb exoskeletons, with a growing interest in human motor control and complex object manipulation. Razavian has made significant contributions to stroke rehabilitation robotics, developing nonlinear model predictive controllers and configuration-dependent impedance strategies that adapt to individual patient needs — work that has garnered nearly 40 citations across his 2017 and 2018 studies. His widely cited 2021 simulation study on stand-to-sit biomechanics (32 citations) opened new avenues for energy-regenerative design in prostheses and exoskeletons, extending device battery life beyond level-ground walking scenarios. His survey of upper extremity rehabilitation robots provides a valuable reference for researchers entering the field. More recently, Razavian has turned his attention to how humans perceive and control complex, underactuated objects — combining insights from neuroscience, biomechanics, and multi-modal sensing to inform next-generation robot controllers. His 2025 work on human-aware control represents a natural evolution of this trajectory, aiming to make physically interactive robots safer and more intuitive partners in shared tasks.
Research Focus
Key Achievements
Top Papers
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- 5Upper Extremity Rehabilitation Robots: A Survey12 citations · 2018
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- 8Multi-modal Interactive Perception in Human Control of Complex Objects3 citations · 2023
- 9Human-Aware Control for Physically Interacting Robots2 citations · 2025