Papers
1
Total Citations
8
H-Index
1
About
Yehor Boltov is a robotics researcher whose work centers on real-time systems for autonomous mobile robot navigation, with a particular focus on vision-based control and embedded computing. His most-cited paper, "Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots" (2019, 8 citations), provides critical experimental analysis of how Real-Time Operating Systems (RTOS) influence processor utilization, response time, and real-time jitter in small-scale autonomous platforms. This contribution is foundational for engineers selecting RTOS solutions, as it offers empirical evidence on system feasibility under tight computational constraints. Boltov’s research bridges the gap between theoretical real-time scheduling and practical deployment in resource-limited robots, helping to advance the reliability of autonomous navigation in dynamic environments. His work is particularly relevant for students and researchers developing low-cost, vision-driven robotic systems, where predictable timing is essential for safe operation. By quantifying trade-offs in RTOS selection, Boltov has helped shape best practices in embedded robotics design.
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