Omid Shah Nazari
Papers
1
Total Citations
8
H-Index
1
About
Omid Shah Nazari is a robotics researcher whose work centers on the control and automation of robotic manipulators, with a particular focus on output feedback control strategies and neural network applications. His most cited paper, "Experimental evaluation of a saturated output feedback controller using RBF neural networks for SCARA robot IBM 7547" (2016, 8 citations), represents a significant contribution to the field of robot control. In this work, Nazari extended passivity-based output feedback trajectory tracking by implementing a generalized saturation approach on a real SCARA robot. He developed a radial basis function (RBF) neural network-based saturated observer that enhances the controller's performance under practical constraints. This experimental validation on the IBM 7547 platform demonstrates his commitment to bridging theoretical control methods with real-world robotic applications. While his citation count reflects the specialized nature of his work, the practical implementation of advanced control techniques on industrial robots marks him as a researcher dedicated to improving robotic precision and reliability. His contributions are particularly relevant for students and engineers interested in the intersection of neural networks, nonlinear control, and industrial robotics.
Research Focus
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Top Papers
- 1