Robert Maniarski
Papers
1
Total Citations
4
H-Index
1
About
Robert Maniarski is a researcher whose work bridges the practical and theoretical in robotics and control systems. His primary research areas include iterative learning control (ILC), mobile robotics, and real-time control implementation. Maniarski’s most notable contribution is his pioneering application of ILC to a LEGO wheeled mobile robot, demonstrating how this powerful control technique can iteratively refine trajectory tracking in repetitive tasks. His 2018 paper on this subject has garnered 4 citations, establishing a foundation for accessible, hands-on validation of advanced control algorithms. By translating complex ILC theory into a tangible, low-cost platform, Maniarski has made significant strides in demonstrating the feasibility of iterative learning for autonomous navigation. His work is particularly impactful for students and researchers seeking to understand how theoretical control methods can be applied to real-world robotic systems. Maniarski’s research underscores the importance of iterative improvement in transient behavior, offering a clear pathway for enhancing mobile robot performance through repeated task execution.
Research Focus
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Top Papers
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