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5 Publications


2024 | Published | Conference Paper | IST-REx-ID: 17898
Lechner, Mathias, Overparametrization helps offline-to-online generalization of closed-loop control from pixels. Proceedings of the 2024 IEEE International Conference on Robotics and Automation. 2024
View | DOI
 

2023 | Published | Conference Paper | IST-REx-ID: 12976 | OA
Liao, Kang, Thibault Tricard, Michael Piovarci, Hans-Peter Seidel, and Vahid Babaei. “Learning Deposition Policies for Fused Multi-Material 3D Printing.” In 2023 IEEE International Conference on Robotics and Automation, 2023:12345–52. IEEE, 2023. https://doi.org/10.1109/ICRA48891.2023.10160465.
[Submitted Version] View | Files available | DOI | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 12010 | OA
Brunnbauer, Axel, Luigi Berducci, Andreas Brandstatter, Mathias Lechner, Ramin Hasani, Daniela Rus, and Radu Grosu. “Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing.” In 2022 International Conference on Robotics and Automation, 7513–20. IEEE, 2022. https://doi.org/10.1109/ICRA46639.2022.9811650.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 10666 | OA
Lechner, Mathias, Adversarial training is not ready for robot learning. 2021 IEEE International Conference on Robotics and Automation. 2021
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 8704 | OA
Lechner, Mathias, Gershgorin loss stabilizes the recurrent neural network compartment of an end-to-end robot learning scheme. Proceedings - IEEE International Conference on Robotics and Automation. 2020
[Submitted Version] View | Files available | DOI | WoS
 

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