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About

A. S. Morev is a researcher focused on the intersection of robotics, cyber-physical systems, and agricultural automation. Their work centers on developing intelligent, autonomous agricultural vehicles, with key contributions in digital testing, information systems, and diagnostic architectures for robotic chassis. Morev’s most cited paper, “Digital tests of the robotic chassis’ cyber-physical system for agricultural unmanned vehicle” (2019, 10 citations), introduces a model-based approach to simulating and monitoring physical processes in robotic vehicles, laying groundwork for reliable field deployment. Another notable work, “Information system of agricultural robotic KAMAZ cars” (2019, 7 citations), addresses the creation of a unified information space for agricultural fleets, integrating wireless communications and IoT technologies. Morev also advanced predictive maintenance with “Architecture of a System for Diagnosing and Predicting the Technical Condition of a Robotic Vehicle” (2019, 3 citations), proposing a model-oriented diagnostic framework. Their exploration of machine vision systems for off-road navigation and use of operational data for residual resource analysis further underscores a commitment to practical, data-driven solutions. With a cumulative citation count of 24 across these papers, Morev’s research is shaping the future of autonomous agriculture, offering scalable, intelligent systems that enhance efficiency and reliability in farming operations.