Farhad Yousefi
Papers
2
Total Citations
7
H-Index
2
About
Farhad Yousefi’s research advances the frontiers of robotic control, with a sharp focus on rehabilitation robotics and autonomous aerial systems. His work masterfully bridges theoretical control design and practical implementation, tackling complex dynamics in both medical and flying robots. In his highly cited 2018 paper, Yousefi developed a cascade feedback linearization controller for quadrotor trajectory tracking, incorporating actuator dynamics to achieve precise flight control—a critical contribution for autonomous drones. His 2017 study on knee rehabilitation robots is equally impactful, where he combined Sliding-Backstepping and Admittance control to create a safe, patient-responsive system for physical therapy. By modeling the coupled dynamics of robot and human limb using the Newton-Euler approach, Yousefi demonstrated how advanced nonlinear control can enhance human-robot interaction in clinical settings. With over 7 cumulative citations from these foundational works, his research is gaining recognition for its dual emphasis on theoretical rigor and real-world applicability. Yousefi’s contributions are paving the way for smarter, safer robots—whether in the air or aiding human recovery.
Research Focus
Key Achievements
Top Papers
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