Riyadh Ahmed Sarhan
Al-Furat Al-Awsat Technical University, University of Technology - Iraq
Papers
2
Total Citations
4
H-Index
2
About
Riyadh Ahmed Sarhan is a researcher specializing in robotics and control systems, with a particular focus on parallel manipulators and intelligent motion control. His work centers on the kinematics and control of high-performance robotic systems, including delta robots and Gough-Stewart platforms. In his 2025 paper on delta robot motion control, Sarhan developed an adaptive neuro-fuzzy inference system (ANFIS) to achieve precise trajectory tracking for 3-DoF delta robots, addressing the challenge of maintaining speed and accuracy in positioning tasks. His earlier 2019 work on the Gough-Stewart parallel manipulator derived inverse kinematic equations and implemented them in MATLAB Simulink, enabling efficient simulation of this six-degree-of-freedom platform. Both contributions have garnered citations, reflecting their relevance to researchers working on parallel robotics and intelligent control. Sarhan’s integration of fuzzy logic and neural networks into robotic control demonstrates a practical approach to enhancing automation in industrial and research settings. His work is particularly valuable for students and engineers seeking to understand the intersection of kinematics, simulation, and adaptive control in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2