Zeyid T. Ibraheem
Papers
2
Total Citations
25
H-Index
2
About
Zeyid T. Ibraheem is a robotics and control systems researcher whose work focuses on enhancing the precision, stability, and intelligence of robotic manipulators. His primary research areas include intelligent control systems, adaptive neural-fuzzy inference systems (ANFIS), and vibration reduction in robotic arms. Ibraheem’s most impactful contribution is his 2023 study on implementing an intelligent controller for a 6-degree-of-freedom (6DOF) robot using a virtual reality model, which has garnered 23 citations. In this work, he proposed a hybrid controller combining an ANFIS with a 2-degree-of-freedom PID (2DO-PID) to outperform conventional designs in speed and quality. His 2022 paper on tuning gains to reduce vibration in robotic arm controllers, while less cited, addresses a critical challenge in variable structure control—oscillation and limited frequency response—offering practical solutions for smoother, more reliable robotic motion. Ibraheem’s research bridges theoretical control strategies with real-world robotic applications, making his work valuable for engineers and students developing advanced, vibration-free robotic systems. His focus on intelligent, adaptive controllers positions him as a contributor to the next generation of high-performance robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2