Iryna Turchenko
Papers
1
Total Citations
2
H-Index
1
About
Iryna Turchenko is a researcher specializing in neural network applications for robotics and intelligent control systems. Her work focuses on leveraging artificial neural networks to enhance autonomous mobile robot navigation, particularly in trajectory planning and movement control. Her most-cited paper, "Predetermined movement of mobile robot using neural networks" (2004, 2 citations), presents experimental results demonstrating how neural networks can be trained to guide a mobile robot along a predetermined path with robustness and precision. In this study, she meticulously details the formation of training sets, neural network structure, and simulation features, showing that neural networks can effectively handle the complexities of real-world robot movement. While her citation count is modest, her contributions are foundational in exploring the intersection of neural networks and robotics, offering early insights into adaptive control systems. Turchenko’s work is notable for its practical approach to integrating machine learning with mechanical systems, providing a stepping stone for future research in autonomous navigation. Her research remains relevant for students and engineers interested in neural network-based control strategies for mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1Predetermined movement of mobile robot using neural networks2 citations · 2004