To achieve accurate tracking for such tasks, we investigate two related Iterative Learning Control update laws and present a variant suited for optimizing ...

Abstract—Highly dynamic tasks that require large accel- erations and precise tracking usually rely on precise models and/or high gain feedback.

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and ...

This paper proposes a new adaptive and cautious iterative learning control (ILC) algorithm where the stability of the control updates is analyzed ...

... Iterative learning control can obtain the control effect that conforms to the desired trajectory by continuously using the previous experimental information ...

Optimizing robot striking movement primitives with Iterative Learning Control. O Koç, G Maeda, G Neumann, J Peters. 2015 IEEE-RAS 15th International Conference ...

", year = "2015", title = "Optimizing Robot Striking Movement Primitives with Iterative Learning Control", booktitle = "Proceedings of the International ...

Optimizing robot striking movement primitives with Iterative Learning Control. O Koç, G Maeda, G Neumann, J Peters. 2015 IEEE-RAS 15th International ...

This work proposes a new adaptive Iterative Learning Control (ILC) algorithm that is implemented efficiently using a recursive approach and shows how the ...

“Optimizing Robot Striking Movement Primitives with Iterative Learning Control”, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp.