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About

Hamid Reza Kobravi is a researcher whose work spans advanced robotics, rehabilitation engineering, and intelligent control systems — fields at the intersection of human biomechanics and cutting-edge automation. His research makes meaningful contributions to both theoretical control frameworks and practical assistive technologies for individuals with neurological impairments. Kobravi's most-cited work (25 citations) demonstrates his expertise in sophisticated control architectures, applying adaptive interval type-2 fuzzy neural network methods to nonsingular fast terminal sliding mode control for cable-driven parallel robots — a technically demanding domain requiring precision and robustness. His investigations into biped robot locomotion and stair-climbing dynamics reflect a sustained interest in mimicking human movement, combining biomechanical analysis with bio-inspired modeling. Perhaps most impactful is his translational research in rehabilitation robotics. Kobravi has pioneered hybrid Functional Electrical Stimulation (FES)-robotic systems designed to restore mobility in stroke survivors, including a notable case study addressing foot drop rehabilitation in a chronic stroke patient — work that bridges engineering innovation with genuine clinical application. Collectively accumulating over 50 citations, his portfolio reveals a researcher committed to developing intelligent, human-centered robotic systems that not only advance theoretical knowledge but hold real promise for improving patients' quality of life.