Yuriy Miheev
Papers
1
Total Citations
3
H-Index
1
About
Yuriy Miheev is a researcher specializing in the diagnostics, monitoring, and predictive maintenance of robotic and autonomous vehicles. His work centers on developing model-oriented architectures and network-based monitoring systems to ensure the reliable operation of complex robotic platforms. Miheev’s most cited paper, “Architecture of a System for Diagnosing and Predicting the Technical Condition of a Robotic Vehicle” (2019), introduces a framework for continuous, real-time oversight of vehicle components and assemblies, enabling early fault detection and performance forecasting. This contribution addresses a critical challenge in robotics: maintaining operational safety and longevity without human intervention. While his citation count is still growing, Miheev’s research lays essential groundwork for the next generation of self-diagnosing autonomous systems. His focus on integrating predictive analytics with structural health monitoring positions him at the forefront of efforts to make robotic vehicles more resilient and self-sufficient. For students and engineers interested in the intersection of robotics, control systems, and reliability engineering, Miheev’s work offers a practical, systems-level approach to ensuring that autonomous machines can think ahead about their own condition.
Research Focus
Key Achievements
Top Papers
- 1