D V Shaykhutdinov
Papers
1
Total Citations
2
H-Index
1
About
D V Shaykhutdinov is a researcher in mechatronics and intelligent manufacturing systems, with a focus on the diagnostics and optimal control of technological processes. His work addresses the critical challenge of integrating system wear and degradation into process planning, particularly for mobile robotic platforms. In his most cited paper, “Optimal technological process planning approach based on the state of mechatronic systems” (2019), Shaykhutdinov formulates a novel problem: how to optimally plan a robot’s trajectory while accounting for the progressive wear of its electric motors and mechanical components. Using a differential-drive mobile robot as a case study, he demonstrates how real-time state monitoring can inform adaptive task sequencing, thereby extending system life and improving reliability. Though his citation count is currently modest, his contributions are foundational to the emerging field of condition-aware automation. Shaykhutdinov’s work bridges control theory, tribology, and industrial robotics, offering practical frameworks for predictive maintenance in smart factories. His research is particularly valuable for engineers developing autonomous systems that must operate reliably under variable physical constraints.
Research Focus
Key Achievements
Top Papers
- 1