Industrial Automatic Control Systems and Controllers Annotation << Back Development of a Soft Fuzzy Logic System for Adaptive Robotic Control Devices for an Industrial Boiler Bobyr M.V., Beketov A.N., Bobyr M.M. This article presents the development of a fuzzy logic-based control system for regulating the heating power of an industrial boiler, designed for integration into adaptive intelligent robotic devices. A modification of the traditional implication approach is proposed, utilizing a soft minimum (σ-min) instead of a hard minimum (min). This adjustment eliminates the issue of defuzzification interval narrowing, thereby enhancing control accuracy. The system employs two input variables – temperature and pressure – and one output variable – heating power, represented by fi ve singleton membership functions. Numerical examples and experimental studies were conducted, including a comparison of the soft and hard minimum approaches using the RMSE metric. The results demonstrate that the soft minimum reduces the root mean square error from 9.85 % to 1.92 %, indicating improved sensitivity and adaptability of the system. The developed model holds potential for application in robotic systems managing technological processes that demand high precision and stability. Keywords: fuzzy logic, soft minimum, adaptive intelligent robotic devices, RMSE, defuzzification. DOI: 10.25791/asu.5.2025.1584 Pp. 17-23.