Mohamad Afandee
Papers
1
Total Citations
10
H-Index
1
About
Mohamad Afandee’s research lies at the intersection of robotics, intelligent control systems, and computer vision, with a focus on developing adaptive, vision-guided robotic manipulators. His most cited work, “Design of 4 Dof Robot ARM Based on Adaptive Neuro-Fuzzy (ANFIS) using Vision in Detecting Color Objects” (2019), introduces a four-degree-of-freedom robotic arm controlled by an Arduino microcontroller and driven by servo motors for base, shoulder, hand, and grip movements. By integrating Adaptive Neuro-Fuzzy Inference Systems (ANFIS) with real-time color object detection, Afandee enables the robot to autonomously identify and manipulate objects based on visual input—a significant step toward intelligent, flexible automation. This paper has garnered 10 citations, reflecting its relevance in educational and low-cost robotics research. Afandee’s contributions demonstrate a practical, interdisciplinary approach that bridges fuzzy logic, neural networks, and embedded systems, offering scalable solutions for industrial and assistive robotics. His work is particularly notable for its emphasis on accessible hardware and adaptive algorithms, making advanced robotics more attainable for researchers and students in developing contexts.
Research Focus
Key Achievements
Top Papers
- 1