Igor Kotsiuba
Papers
1
Total Citations
8
H-Index
1
About
Igor Kotsiuba is a researcher specializing in real-time systems, autonomous mobile robotics, and vision-based navigation. His work addresses critical challenges in deploying reliable, low-latency control systems for small-scale robots, where processor utilization and timing jitter directly impact performance. Kotsiuba’s most cited study, “Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots” (2019, 8 citations), provides experimental benchmarks comparing real-time operating systems (RTOS) for robotic vision tasks. This contribution helps engineers select appropriate RTOS platforms to balance computational efficiency and responsiveness. Beyond this work, Kotsiuba has explored embedded system optimization and sensor integration for autonomous platforms. His research is particularly valuable for students and practitioners developing compact, cost-effective robots for indoor navigation and environmental monitoring. By bridging theoretical RTOS analysis with practical robotic applications, Kotsiuba supports the growing field of autonomous systems where real-time constraints are paramount.
Research Focus
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Top Papers
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