Setia Darmawan
Papers
1
Total Citations
10
H-Index
1
About
Setia Darmawan 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 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 regulate servo motors at the base, shoulder, hand, and gripper, while vision-based color detection enables object recognition and grasping. This contribution bridges fuzzy logic and neural networks for adaptive robotic control, offering a low-cost, intelligent solution for pick-and-place tasks. Darmawan’s work demonstrates practical applications of soft computing in mechatronics, making robotics more accessible for educational and industrial prototyping. His research underscores the potential of hybrid AI systems in enhancing robot autonomy and precision, with implications for manufacturing, sorting, and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1