| Safe learning in robotics: From learning-based control to safe reinforcement learning L Brunke, M Greeff, AW Hall, Z Yuan, S Zhou, J Panerati, AP Schoellig Annual Review of Control, Robotics, and Autonomous Systems 5, 2021 | 448 | 2021 |
| Correction to: Offline simulation of path deviation due to joint compliance and hysteresis for robot machining M Cordes, L Brunke, W Hintze The International Journal of Advanced Manufacturing Technology 105 (7-8 …, 2019 | 103* | 2019 |
| safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics Z Yuan, AW Hall, S Zhou, L Brunke, M Greeff, J Panerati, AP Schoellig IEEE Robotics and Automation Letters, 2022 | 34* | 2022 |
| Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L Brunke, S Zhou, AP Schoellig Learning for Dynamics and Control Conference, 881-892, 2022 | 16 | 2022 |
| Robust adaptive model predictive control for guaranteed fast and accurate stabilization in the presence of model errors K Pereida, L Brunke, AP Schoellig International Journal of Robust and Nonlinear Control, 2021 | 10 | 2021 |
| Evaluating input perturbation methods for interpreting CNNs and saliency map comparison L Brunke, P Agrawal, N George Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 9 | 2020 |
| RLO-MPC: Robust learning-based output feedback MPC for improving the performance of uncertain systems in iterative tasks L Brunke, S Zhou, AP Schoellig 2021 60th IEEE Conference on Decision and Control (CDC), 2183-2190, 2021 | 5 | 2021 |
| Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems L Brunke, S Zhou, AP Schoellig 2022 IEEE 61st Conference on Decision and Control (CDC), 3051-3058, 2022 | 4 | 2022 |
| Learning Model Predictive Control for Competitive Autonomous Racing L Brunke arXiv preprint arXiv:2005.00826, 2020 | 4 | 2020 |
| Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon FP Bejarano, L Brunke, AP Schoellig 2023 62nd IEEE Conference on Decision and Control (CDC), 4723-4730, 2023 | 3 | 2023 |
| Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design A Jiao, TP Patel, S Khurana, AM Korol, L Brunke, VK Adajania, U Culha, ... arXiv preprint arXiv:2312.01059, 2023 | 1 | 2023 |
| What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities S Zhou, L Brunke, A Tao, AW Hall, FP Bejarano, J Panerati, AP Schoellig arXiv preprint arXiv:2308.10008, 2023 | 1 | 2023 |
| Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems R Römer, L Brunke, S Zhou, AP Schoellig arXiv preprint arXiv:2403.09504, 2024 | | 2024 |
| Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems L Brunke, S Zhou, M Che, AP Schoellig IEEE Control Systems Letters, 2023 | | 2023 |
| A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges S Teetaert, W Zhao, N Xinyuan, H Zahir, H Leong, M Hidalgo, G Puga, ... arXiv preprint arXiv:2308.16743, 2023 | | 2023 |
| Safe Offline Reinforcement Learning using Trajectory-Level Diffusion Models R Römer, L Brunke, M Schuck, AP Schoellig ICRA 2024 Workshop {\textemdash} Back to the Future: Robot Learning Going …, 0 | | |
Angela SchoelligProfessor of Robotics, Technical University of Munich and University of TorontoVerified email at tum.de
