Subiyanto Subiyanto

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About

Dr. Subiyanto Subiyanto is a robotics and intelligent systems researcher whose work focuses on the integration of adaptive control and computer vision for autonomous manipulation. His key research areas include robotic arm control, fuzzy logic systems, and color-based object detection. His most cited work, "Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method" (2019, 26 citations), presents a pioneering approach that combines an Adaptive Neuro Fuzzy Inference System (ANFIS) with an Arduino microcontroller to control a 5-degree-of-freedom robot arm. By using MATLAB for image processing, Dr. Subiyanto demonstrated how neuro-fuzzy methods can enable a robotic arm to dynamically detect and interact with colored objects, bridging the gap between low-cost hardware and intelligent control algorithms. This work is notable for its practical application of ANFIS in real-time robotics, offering a scalable solution for educational and industrial automation. With 26 citations, this paper has influenced subsequent research in adaptive robotic systems and embedded intelligence, establishing Dr. Subiyanto as a contributor to accessible, AI-driven robotics.