Saada Fadwa
Papers
1
Total Citations
2
H-Index
1
About
Dr. Fadwa Saada is a robotics researcher whose work centers on the dynamic modeling and parameter identification of robotic systems, with a particular focus on planar robots. Her primary contribution lies in advancing the practical application of the least squares method for identifying the dynamic parameters of robots with two degrees of freedom. By leveraging the inverse dynamic model—which is linear with respect to the parameters to be identified—she has developed methodologies that allow for the accurate estimation of these parameters through carefully designed exciting trajectories. This work is crucial for improving robot control, simulation, and performance optimization. Her most cited paper, "Identification of the dynamic parameters of the planar robot model at 2 degrees of freedom using the least squares method" (2022), has garnered 2 citations, establishing a foundation for further research in the field. Dr. Saada's research addresses a fundamental challenge in robotics: ensuring that theoretical models accurately reflect the physical behavior of real-world systems, thereby enabling more precise and reliable robotic operations.
Research Focus
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Top Papers
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