Papers
1
Total Citations
6
H-Index
1
About
I. Sushkov is a researcher focused on the intersection of robotics, cyber-physical systems, and predictive maintenance, with a particular emphasis on optimizing mobile robot performance. Their major contribution lies in developing a cyber-physical planning system that integrates real-time electric motor health monitoring into trajectory optimization, addressing the critical challenge of equipment deterioration. This work, detailed in their 2019 paper "Cyber-physical System of the Mobile Robot’s Optimal Trajectory Planning with taking into account Electric Motors Deterioration," has garnered 6 citations, establishing a foundation for more reliable and efficient autonomous navigation. By bridging control theory with condition-based maintenance, Sushkov's research offers practical solutions for extending the operational lifespan of robotic systems while maintaining optimal performance. Their approach is particularly relevant for industrial and service robotics, where motor wear can significantly impact mission success and operational costs. This work represents a notable step toward more intelligent, self-aware robotic systems that can adapt their behavior based on their own mechanical health.
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