Mohammad Dokht Shakibjoo
Papers
1
Total Citations
13
H-Index
1
About
Mohammad Dokht Shakibjoo is a researcher focused on advanced control systems for robotics, particularly addressing the complex nonlinear dynamics of robotic manipulators. His key research areas include nonlinear control theory, PID controller design, and reset control strategies for industrial robotics. His most cited work, "2-DOF PID with reset controller for 4-DOF robot arm manipulator" (2015, 13 citations), presents an innovative approach to improving the performance of robotic arm control by combining a two-degree-of-freedom PID structure with a reset mechanism. This contribution addresses critical challenges in industrial robot applications, where precise and stable control of nonlinear systems is essential. Shakibjoo's work demonstrates how integrating nonlinear control methods with traditional PID frameworks can enhance system response and robustness. His research has implications for advancing automation in manufacturing and other industries requiring high-precision robotic manipulation. By tackling the inherent complexities of multi-degree-of-freedom robotic arms, Shakibjoo contributes to the broader field of robotics and control engineering, offering practical solutions for real-world industrial applications.
Research Focus
Key Achievements
Top Papers
- 12-DOF PID with reset controller for 4-DOF robot arm manipulator13 citations · 2015