Y. A. Tyurina
Papers
1
Total Citations
5
H-Index
1
About
Y. A. Tyurina is a researcher at the forefront of collaborative robotics and socio-cyber-physical systems, with a focus on integrating human factors into AI-driven control processes. Her most-cited work, "Human Factor Modelling in the Collaborative Robotic Process Control System" (2023, 5 citations), addresses a critical challenge in modern robotics: the low degree of human-robot synergy in weakly determined technological processes. Tyurina’s contributions lie in developing models that capture human behavior and decision-making within collaborative robotic environments, enabling more adaptive and efficient control systems. By bridging the gap between human operators and artificial intelligence, her research aims to unlock the synergistic potential of human-robot teams in industrial and service applications. While her citation count is still growing, her work is gaining attention for its practical relevance to the evolving field of Industry 4.0. Tyurina’s research is particularly valuable for students and engineers seeking to understand how human factors can be systematically integrated into autonomous systems, paving the way for safer and more intuitive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1