Mohammad Baradaran Fard
Papers
1
Total Citations
10
H-Index
1
About
Mohammad Baradaran Fard is a researcher whose work centers on the control of robotic manipulators, with a particular focus on impedance control and robust systems. His key contributions lie in developing model-free approaches that address the fundamental challenge of controlling uncertain, nonlinear robots as they interact with their environment. His most-cited paper, "Model free robust impedance control of robot manipulators using fourier series expansion" (2015, 10 citations), introduces an innovative method that uses Fourier series expansion to bypass the need for precise system models. This work is significant because it tackles the core problem of impedance control: prescribing a certain, linear dynamic behavior for a robot in contact with its environment, despite the robot itself being inherently uncertain and nonlinear. By offering a robust, model-free solution, Baradaran Fard’s research enhances the reliability and adaptability of robots in tasks requiring physical interaction, such as assembly or rehabilitation. His work represents a meaningful step toward more practical and resilient robotic systems, making him a notable contributor to the field of robot control.
Research Focus
Key Achievements
Top Papers
- 1