Gennady Krivoulya
Papers
1
Total Citations
8
H-Index
1
About
Gennady Krivoulya is a leading researcher in autonomous mobile robotics and real-time embedded systems, with a particular focus on vision-based navigation for small-scale robots. His work addresses the critical challenge of selecting and optimizing real-time operating systems (RTOS) to balance processor utilization, response time, and jitter—factors that directly determine the reliability of autonomous platforms. His most cited paper, "Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots" (2019, 8 citations), provides foundational experimental trials that guide engineers in choosing the right RTOS for resource-constrained robotic systems. This contribution is especially valuable for students and practitioners developing low-cost, high-performance autonomous vehicles. Krivoulya’s research bridges the gap between theoretical RTOS performance models and practical robotic applications, offering clear benchmarks for system designers. His work continues to influence the development of efficient, real-time control architectures, making him a key figure in the advancement of small autonomous robots for research, education, and industry.
Research Focus
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Top Papers
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