Mahdi Hejrati
Papers
5
Total Citations
41
H-Index
5
About
Mahdi Hejrati is an emerging robotics and control systems researcher whose work centers on advanced control methodologies for human-robot interaction, exoskeleton systems, and rehabilitation robotics. His research addresses some of the most pressing challenges in safe and adaptive physical human-robot interaction (pHRI), particularly in the context of upper limb exoskeletons designed to assist and rehabilitate human operators. Hejrati's most impactful contributions include the development of nonlinear subsystem-based adaptive impedance control frameworks and decentralized neuroadaptive control schemes, which enhance both stability and safety in complex, contact-rich robotic tasks. His work on virtual decomposition control for 7-DoF redundant exoskeletons introduced a natural adaptation law that reduces the need for manual parameter tuning — a notable practical advancement. Beyond exoskeletons, he has explored virtual reality-integrated rehabilitation robots for children with cerebral palsy, demonstrating a commitment to socially meaningful applications. More recently, his orchestrated robust controller for heavy-duty hydraulic manipulators signals a broadening scope toward industrial automation. With publications accumulating citations across multiple venues since 2019, Hejrati represents a productive voice bridging theoretical control design with real-world rehabilitation and industrial robotics challenges.
Research Focus
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Top Papers
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