Mustafa Rahayu
Papers
1
Total Citations
10
H-Index
1
About
Mustafa Rahayu is a robotics and intelligent systems researcher whose work focuses on the integration of adaptive control algorithms with computer vision for autonomous manipulation. Her most cited paper, "Design of 4 Dof Robot ARM Based on Adaptive Neuro-Fuzzy (ANFIS) using Vision in Detecting Color Objects" (2019, 10 citations), presents a novel approach to robotic arm control by combining Adaptive Neuro-Fuzzy Inference Systems (ANFIS) with visual feedback. In this work, she designed a 4-degree-of-freedom robot arm using four servo motors—base, shoulder, hand, and grip—controlled by an Arduino microcontroller. The key innovation lies in using ANFIS to enable the robot to learn and adapt its movements based on color object detection, bridging the gap between fuzzy logic control and neural network learning for real-time vision-guided tasks. This contribution demonstrates her expertise in embedded systems, mechatronics, and intelligent control. While her citation count reflects an emerging career, her work is significant for advancing low-cost, adaptive robotic platforms. Rahayu’s research holds promise for applications in automated sorting, assistive robotics, and educational robotics, where vision-based adaptive control is critical for flexible, real-world operation.
Research Focus
Key Achievements
Top Papers
- 1