Mehdi Bakhtiari
Papers
2
Total Citations
10
H-Index
1
About
Mehdi Bakhtiari is a rising force in rehabilitation robotics, with a focused expertise in developing intelligent, accessible systems for lower-limb recovery. His core research lies at the intersection of adaptive control theory and assistive device design, aiming to restore natural gait for individuals with mobility impairments from stroke, neurological disorders, or injury. Bakhtiari’s most cited work, "Model-free adaptive variable impedance control of gait rehabilitation exoskeleton" (2024, 9 citations), introduces a groundbreaking control framework that allows exoskeletons to dynamically adjust their stiffness and damping without needing a complex system model—a significant leap toward safer, more human-responsive robotic therapy. Complementing this, his recent design of the CoGait WalkAssist (2025) showcases his commitment to practical, motor-free solutions, using a passive, cable-driven mechanism to guide natural treadmill walking. This innovative approach addresses the critical need for affordable, low-power rehabilitation robots that can be widely deployed in clinics or homes. By blending advanced control theory with pragmatic engineering, Bakhtiari is charting a promising path toward democratizing high-quality gait rehabilitation.
Research Focus
Key Achievements
Top Papers
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- 2