Athraa Faraj Sugban
Papers
1
Total Citations
5
H-Index
1
About
Dr. Athraa Faraj Sugban is a researcher specializing in intelligent robotics control systems, with a particular focus on fuzzy logic optimization and bio-inspired algorithms for heavy machinery automation. Her most cited work, "Ant Colony Optimization Based Type-2 Fuzzy Force-Position Control for Backhoe Excavator Robot" (2018), introduces a novel approach to controlling excavator bucket positioning during digging operations. By integrating Interval Type-2 Fuzzy Logic Control with Ant Colony Optimization in MATLAB/Simulink, Dr. Sugban’s system achieves precise position responses while minimizing overshoot and steady-state error—critical improvements for autonomous construction equipment. Though her citation count is still growing, this work demonstrates her contribution to advancing robust, adaptive control methods for complex robotic systems operating in uncertain environments. Her research bridges theoretical fuzzy control with practical heavy machinery applications, offering a pathway toward safer and more efficient automated excavation. For students and researchers in robotics and control engineering, Dr. Sugban’s work exemplifies how hybrid intelligent systems can solve real-world industrial challenges.
Research Focus
Key Achievements
Top Papers
- 1