Samira Ghandali
Papers
1
Total Citations
57
H-Index
1
About
Samira Ghandali is a distinguished researcher in robotics and control systems, specializing in adaptive control, impedance control, and neural network-based approximation methods. Her most notable contribution is the development of a robust adaptive impedance control framework for robot manipulators, which leverages the Szász–Mirakyan operator as a universal approximator—a novel approach that enhances precision and stability in dynamic environments. This work, published in 2020, has garnered 57 citations, underscoring its influence on advancing robot-environment interaction. Ghandali’s research bridges theoretical mathematics and practical robotics, offering solutions for compliant and safe manipulation in industrial and service applications. Her innovative use of approximation theory to address real-time control challenges marks her as a key figure in modern robotics, with her work frequently cited by peers exploring adaptive systems and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1