Overparametrization helps offline-to-online generalization of closed-loop control from pixels

Learning deposition policies for fused multi-material 3D printing
K. Liao, T. Tricard, M. Piovarci, H.-P. Seidel, V. Babaei, in:, 2023 IEEE International Conference on Robotics and Automation, IEEE, 2023, pp. 12345–12352.

Latent imagination facilitates zero-shot transfer in autonomous racing
A. Brunnbauer, L. Berducci, A. Brandstatter, M. Lechner, R. Hasani, D. Rus, R. Grosu, in:, 2022 International Conference on Robotics and Automation, IEEE, 2022, pp. 7513–7520.

Adversarial training is not ready for robot learning

Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme