Papers
1
Total Citations
6
H-Index
1
About
I. Schmelev is a researcher focused on the intersection of robotics, cyber-physical systems, and electromechanical reliability. Their key research areas include optimal trajectory planning for mobile robots and the integration of electric motor health monitoring into autonomous control systems. Schmelev’s major contribution lies in developing a cyber-physical planning system that accounts for the technical state and deterioration of electric motors, enabling robots to adapt their paths and operations to prolong component lifespan while maintaining performance. This work, detailed in their most-cited paper from 2019, has garnered 6 citations, reflecting its niche but growing influence in the fields of predictive maintenance and resilient robotics. By bridging real-time diagnostics with motion planning, Schmelev advances the practical deployment of mobile robots in industrial and service settings, where equipment wear is a critical concern. Their research underscores a shift toward self-aware robotic systems, offering a foundation for future studies in sustainable automation and condition-based control.
Research Focus
Key Achievements
Top Papers
- 1