Dominik Zaborniak
Papers
1
Total Citations
2
H-Index
1
About
Dominik Zaborniak is a researcher whose work centers on advanced control systems, with a particular focus on iterative learning control (ILC) for mobile robotics. His key contribution lies in designing control strategies that enable robots performing repetitive tasks to progressively refine their performance over successive trials, systematically reducing error and converging on a predefined reference trajectory. This approach is especially valuable for autonomous systems operating in structured environments, such as industrial or service robotics. His most-cited paper, "Iterative Learning Control Design for a Class of Mobile Robots" (2025), has garnered 2 citations—a notable early impact that signals growing interest in his methodology. By addressing the challenge of improving control signals iteration by iteration, Zaborniak’s work bridges theoretical control theory and practical robotic applications, offering a pathway to more adaptive and efficient autonomous navigation. His research holds promise for enhancing precision in manufacturing, logistics, and exploration, marking him as an emerging voice in the field of learning-based control systems.
Research Focus
Key Achievements
Top Papers
- 1Iterative Learning Control Design for a Class of Mobile Robots2 citations · 2025