Ilona Kryzhanivska
Papers
2
Total Citations
5
H-Index
2
About
Ilona Kryzhanivska is a researcher advancing the frontiers of industrial robotics and manufacturing automation. Her work centers on the development of intelligent, automated systems for robotic machine-assembly, with a particular focus on precision, efficiency, and decision-making under uncertainty. A key contribution is her development of a novel method for fuzzy multi-criteria selection of robotic assembly technologies, employing a "worst-case approach" to optimize decision-making in complex manufacturing environments. This work, published in 2019, provides a robust framework for automating technology selection, ensuring reliability even in non-ideal conditions. More recently, Kryzhanivska has tackled the practical challenge of automating the attestation of metrics for industrial robots. Her 2024 paper presents a concrete implementation using CoppeliaSim and MATLAB software, offering a mathematical model for the automated verification of manipulation system indicators. This work directly addresses a critical need for quality assurance in robotic systems. While her citation counts are currently modest, reflecting the recent and specialized nature of her contributions, her research provides foundational tools for the next generation of flexible, self-optimizing manufacturing cells.
Research Focus
Key Achievements
Top Papers
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- 2