S. Kukharets

Polissia National University, Vytautas Magnus University

Papers

Total Citations

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About

S. Kukharets is a researcher whose work bridges the complex dynamics of transportation systems and the precision challenges of industrial robotics. Their primary research areas include traffic flow theory, multifractal analysis, and robotic positioning accuracy. A major contribution is their analytical study of multifractal invariant attributes in traffic flows, which introduces novel methods for formalizing the collective interactions of road users within motor transport complexes—a critical step toward optimizing modern transportation networks. This work has garnered 9 citations, reflecting its relevance in advancing traffic flow modeling. In robotics, Kukharets has developed a methodology to enhance the positioning accuracy of industrial robot grippers by integrating machine learning with mathematical models that estimate positioning errors and minimize vibrations. This 2024 study, with 5 citations, addresses a fundamental challenge in automation, offering practical solutions for reducing error components. Kukharets’ research demonstrates a unique ability to apply advanced mathematical and computational techniques across distinct engineering domains, making their work valuable for students and researchers interested in intelligent transportation systems and precision robotics.