PROSPECTS FOR OPTIMISING PARAMETERS WHEN INTRODUCING ARTIFICIAL INTELLIGENCE INTO THE MANAGEMENT AND OPERATION OF MOTOR GRADERS

In the context of requirements for high-precision and energy-efficient reconstruction of Ukraine's infrastructure, the article discusses the principles and advantages of integrating artificial intelligence (AI) technologies into road construction machinery control systems, in particular motor graders. The main focus is on the use of machine learning (ML) and deep learning (DL) algorithms to optimise the operating parameters of hydraulic drives, predictive maintenance and achieve millimetre precision in road surface profiling.