Muhammad Hasrul Mamat
Papers
1
Total Citations
10
H-Index
1
About
Muhammad Hasrul Mamat is a researcher in robotics and intelligent control systems, with a focus on integrating adaptive neuro-fuzzy inference systems (ANFIS) and computer vision for autonomous object manipulation. His most cited work, "Design of 4 Dof Robot ARM Based on Adaptive Neuro-Fuzzy (ANFIS) using Vision in Detecting Color Objects" (2019, 10 citations), presents a 4-degree-of-freedom robotic arm controlled by an Arduino microcontroller. The system employs ANFIS to enhance precision in servo-driven base, shoulder, hand, and grip movements, while vision-based color detection enables real-time object recognition and grasping. This contribution bridges fuzzy logic and neural networks for adaptive robotics, demonstrating practical applications in automated sorting and pick-and-place tasks. With 10 citations, his work has influenced subsequent studies in low-cost, intelligent robotic systems for educational and industrial settings. Mamat’s research underscores the potential of hybrid AI techniques in creating responsive, vision-guided manipulators, making his work a valuable reference for students and engineers exploring embedded robotics and adaptive control.
Research Focus
Key Achievements
Top Papers
- 1