Fatina Shukur
Papers
1
Total Citations
2
H-Index
1
About
Dr. Fatina Shukur is a rising researcher in robotics and intelligent control systems, with a focus on enhancing the precision and adaptability of robotic manipulators. Her most notable contribution lies in the integration of fuzzy logic control with neural networks, specifically through her work on optimizing a Fuzzy-PD controller for a 3-DOF robotics manipulator using a back-propagation neural network. This research addresses critical challenges in real-time robotic motion control, offering a hybrid approach that improves stability and accuracy in dynamic environments. While her citation count is still growing—her key paper has garnered 2 citations since 2024—her work represents a foundational step toward more autonomous and efficient robotic systems. Dr. Shukur’s research bridges classical control theory with modern machine learning, positioning her as an emerging voice in the field of mechatronics and intelligent automation. Her contributions are particularly relevant for applications in industrial robotics, where precise manipulation is essential. As her work gains traction, Dr. Shukur is poised to make significant strides in advancing adaptive control methodologies for complex robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1