This study investigates the application of a STEAM-integrated Fuzzy Analytic Hierarchy Process (FAHP) to optimize the design of robotic toys. Recognizing the growing importance of interdisciplinary learning and the need for robust decision-making tools, the research combines the creative and exploratory nature of STEAM education with the quantitative capabilities of FAHP. The methodology involves identifying key design criteria aligned with STEAM principles, developing a Fuzzy AHP questionnaire, collecting data from an expert panel, and analyzing the data to prioritize design criteria. The results highlight the most critical factors in robotic toy design, informing the development of a proposed robotic toy concept that effectively integrates STEAM elements. This research contributes to the fields of educational technology, product design, and decision-making, providing a framework for designing innovative and engaging learning tools that promote holistic development in children.