Moinuddin Hassan
Papers
1
Total Citations
2
H-Index
1
About
Dr. Moinuddin Hassan is a robotics and control systems researcher whose work focuses on intelligent motion control for high-speed automation. His most cited paper, "Motion control of 3-DoF delta robot using adaptive neuro fuzzy inference system" (2025, 2 citations), addresses a critical challenge in industrial robotics: achieving precise, rapid positioning for delta robots. He developed a control model based on an adaptive neuro-fuzzy inference system (ANFIS) that enables the robot’s platform to move accurately along specified coordinates. This hybrid approach combines the learning capability of neural networks with the interpretability of fuzzy logic, offering a robust solution for complex motion tasks. While his citation count is still growing, his contribution is notable for advancing practical control strategies in automation, particularly for applications requiring both speed and precision. Dr. Hassan’s work bridges theoretical control design and real-world robotic implementation, making it relevant for researchers and engineers in mechatronics and intelligent systems.
Research Focus
Key Achievements
Top Papers
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