1. Achterhold, J., Tobuschat, P., Ma, H., et al. (2023). Black-box vs. gray-box: A case study on learning table tennis ball trajectory prediction with spin and impacts. In: Proceedings of the learning for dynamics and control conference, pp. 878–890.
2. Ahn, H. S., Chen, Y., & Moore, K. L. (2007). Iterative learning control: Brief survey and categorization. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 37(6), 1099–1121.
3. Alet, F., Lozano-Perez, T., & Kaelbling, L. P. (2018). Modular meta-learning. In: Proceedings of the conference on robot learning, pp. 856–868
4. Arimoto, S., Kawamura, S., Miyazaki, F. (1986). Convergence, stability and robustness of learning control schemes for robot manipulators. In: Proceedings of the international symposium on robot manipulators on recent trends in robotics: Modeling, control and education, pp. 307–316
5. Ba, D. X., Dinh, T. Q., & Ahn, K. K. (2016). An integrated intelligent nonlinear control method for a pneumatic artificial muscle. IEEE/ASME Transactions on Mechatronics, 21(4), 1835–1845.