Omid Shahnazari
Papers
1
Total Citations
3
H-Index
1
About
Omid Shahnazari’s research lies at the intersection of robotics, nonlinear control systems, and intelligent automation, with a particular focus on enhancing the precision and reliability of industrial manipulators. His most cited work, “Fuzzy gain scheduling saturated PID controller: Design and implementation on robot manipulator” (2017), introduces a novel control strategy that combines fuzzy logic with saturated PID tuning to achieve superior trajectory tracking in real-world robotic systems. By experimentally validating this approach on an industrial SCARA IBM 7547 robot—including the design, construction, and implementation of its electrical and control components—Shahnazari bridges the gap between theoretical control algorithms and practical mechatronic deployment. This contribution is especially valuable for applications requiring high accuracy under physical constraints, such as assembly and pick-and-place operations. With 3 citations, his work has laid a foundation for further research in adaptive and robust robot control. Shahnazari’s achievements demonstrate a hands-on engineering mindset, combining hardware development with advanced control theory to push the boundaries of automated manufacturing and intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1