Papers
15
Total Citations
536
H-Index
10
About
Dr. Mehran Rahmani is a leading figure in the field of advanced robotics and intelligent control systems, with a primary focus on bio-inspired and rehabilitation robotics. His research is centered on developing robust, adaptive control strategies for complex robotic manipulators, including exoskeletons, bipedal robots, and inchworm-inspired designs. Dr. Rahmani’s major contributions lie in the integration of neural networks, fractional calculus, and metaheuristic optimization algorithms—such as the Bat Algorithm and Extended Grey Wolf Optimizer—to create novel sliding mode controllers. These hybrid controllers effectively handle system uncertainties, external disturbances, and nonlinear dynamics, enabling precise and stable robot motion. His work has had a significant impact, with his most-cited paper, "Robust adaptive control of a bio-inspired robot manipulator using bat algorithm," garnering 95 citations. Notably, Dr. Rahmani has made substantial strides in upper-limb exoskeleton control for post-stroke rehabilitation, designing a 7-DOF exoskeleton (u-Rob) and developing innovative fuzzy and fractional sliding mode controllers to ensure safe, compliant human-robot interaction. His cumulative research, with papers accumulating hundreds of citations, underscores his role in advancing the frontier of intelligent, adaptive robotic systems for both industrial and medical applications.
Research Focus
Key Achievements
Top Papers
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- 9Novel robust control of a 7-DOF exoskeleton robot20 citations · 2018
- 10Control of a caterpillar robot manipulator using hybrid control10 citations · 2019