Sergey Trefilov

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About

Sergey Trefilov’s research focuses on the intersection of robotics, control theory, and industrial automation, with a particular emphasis on optimizing the reliability and efficiency of transport robots in automatic warehouses. His most cited work, “AUTOMATIC WAREHOUSES WITH TRANSPORT ROBOTS OF INCREASED RELIABILITY” (2018, 9 citations), introduces an optimal control algorithm that minimizes a quadratic functional of quality, balancing control energy and displacement to enhance robotic performance. Building on this, his 2019 paper on “Robot drives diagnostics by identifiability criterion based on state matrix” (4 citations) advances diagnostic methods for robot drives, proposing a discrete digital control model that optimizes decision-making under energy constraints. Trefilov’s contributions are notable for their practical impact on industrial robotics, offering scalable solutions for automated logistics. His work on identifiability criteria provides a foundation for real-time fault detection in robotic systems, a critical step toward autonomous maintenance. With a growing citation record, Trefilov is establishing himself as a key voice in reliable, energy-efficient robotic control, bridging theoretical optimization with real-world warehouse automation challenges.