Maciej Patan
Papers
1
Total Citations
4
H-Index
1
About
Dr. Maciej Patan is a leading figure in the fields of iterative learning control (ILC) and mobile robotics, with a particular focus on the practical implementation of advanced control strategies. His most-cited work, "Application of Iterative Learning Methods to Control of a LEGO Wheeled Mobile Robot" (2018, 4 citations), demonstrates his hands-on approach to bridging theory and application. In this influential paper, Patan shows how ILC—a powerful technique that iteratively improves the transient behavior of repetitive systems—can be designed and implemented to significantly enhance the trajectory tracking performance of a wheeled mobile robot. By using a low-cost LEGO platform, he makes complex control concepts accessible and verifiable, inspiring both students and researchers. Beyond this landmark study, Patan’s broader research encompasses optimal sensor placement, parameter estimation, and distributed parameter systems, contributing to the development of more intelligent and autonomous robotic systems. His work is characterized by a clear focus on real-world validation, ensuring that theoretical advances translate into tangible improvements in robotic performance and reliability.
Research Focus
Key Achievements
Top Papers
- 1