Papers
9
Total Citations
170
H-Index
7
About
Haifa Mehdi is a leading researcher in the field of robotic control, with a primary focus on rehabilitation robotics, impedance control, and robust motion/force control for constrained robotic manipulators. Her most influential work, "Stiffness and Impedance Control Using Lyapunov Theory for Robot-Aided Rehabilitation" (2011), has garnered 73 citations, establishing her as a key figure in developing safe, stable human-robot interaction systems for stroke therapy. Mehdi’s major contribution lies in her innovative integration of Lyapunov stability theory with particle swarm optimization (PSO), a method she pioneered to automatically tune controller parameters for high-precision tracking under model uncertainties. Her 2011 paper on PSO-tuned impedance controllers (43 citations) demonstrates this approach, offering a fast, efficient solution for optimizing robotic arm performance in constrained environments. Beyond rehabilitation, her work on robust tracking control and fractional-order PID controllers (e.g., for inverted pendulum systems) showcases her versatility in tackling complex underactuated dynamics. With a total of over 170 citations across her most-cited works, Mehdi’s research has significantly advanced the safety, stability, and adaptability of robots operating in uncertain or human-centric settings, making her a vital contributor to modern robotics and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Impedance Controller Tuned by Particle Swarm Optimization for Robotic Arms43 citations · 2011
- 3PSO-Lyapunov motion/force control of robot arms with model uncertainties12 citations · 2014
- 4
- 5
- 6Robot-Assisted Therapy: Design, Control and Optimization8 citations · 2012
- 7
- 8Robust Tracking Control for Constrained Robots4 citations · 2012
- 9