Papers
2
Total Citations
11
H-Index
2
About
M. Yu. Karelina is a researcher focused on the intersection of robotics, automation, and construction technology, with key contributions in the mechanization of road construction and the development of intelligent sorting systems. Her most cited work, "Robotic Systems in Road Construction" (2022, 9 citations), addresses critical challenges in improving quality and safety by introducing advanced robotic technologies to reduce manual labor and enhance the mechanization of road machinery. This article showcases innovative small-scale robotic solutions that promise to transform traditional construction practices. More recently, Karelina has advanced the field of computer vision with her 2024 paper on "Development of a Computer Vision System for an Optical Sorting Robot," which demonstrates her growing expertise in integrating AI-driven perception into robotic systems. While her citation counts are still emerging, her work signals a practical, problem-solving approach to automating complex, labor-intensive tasks. Karelina’s research is particularly relevant for students and engineers interested in applied robotics, construction automation, and the real-world deployment of computer vision technologies to improve industrial efficiency and worker safety.
Research Focus
Key Achievements
Top Papers
- 1Robotic Systems in Road Construction9 citations · 2022
- 2Development of a Computer Vision System for an Optical Sorting Robot2 citations · 2024