Abdallah Farrage
Papers
1
Total Citations
4
H-Index
1
About
Dr. Abdallah Farrage is a robotics researcher specializing in intelligent control systems, adaptive neuro-fuzzy algorithms, and industrial automation. His most cited work, "Experimental Investigation of an Adaptive Neuro-Fuzzy Control Scheme for Industrial Robots" (2014), introduces a novel adaptive fuzzy logic controller with a feed-forward component (AFLCF) applied to a Selective Compliance Assembly Robot Arm (SCARA). In this study, Dr. Farrage demonstrates how an artificial neural network (ANN) trained off-line computes the feed-forward torque component on-line, significantly enhancing robotic precision and adaptability. This contribution bridges the gap between theoretical control methods and practical industrial applications, offering a robust solution for real-time robotic manipulation. With 4 citations, this paper has laid foundational groundwork for subsequent research in adaptive control for manufacturing environments. Dr. Farrage’s work is particularly impactful for students and engineers exploring intelligent automation, as it provides a clear, experimentally validated framework for integrating neuro-fuzzy systems into industrial robots. His research continues to influence advancements in adaptive control, making him a notable figure in the field of robotics and automation engineering.
Research Focus
Key Achievements
Top Papers
- 1