| 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 | 724 | 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 | 121* | 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 | 54* | 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 | 20 | 2022 |
| 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 | 15 | 2020 |
| 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 | 14 | 2023 |
| 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 | 11 | 2021 |
| 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 | 7 | 2023 |
| Learning Model Predictive Control for Competitive Autonomous Racing L Brunke arXiv preprint arXiv:2005.00826, 2020 | 7 | 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 | 6 | 2021 |
| Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems L Brunke, S Zhou, M Che, AP Schoellig IEEE Control Systems Letters, 2023 | 4 | 2023 |
| 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 |
| 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 IEEE Control Systems Magazine 44 (4), 38-46, 2024 | 3 | 2024 |
| Safe Offline Reinforcement Learning using Trajectory-Level Diffusion Models R Römer, L Brunke, M Schuck, AP Schoellig ICRA 2024 Workshop Back to the Future: Robot Learning Going Probabilistic, 2024 | 3* | 2024 |
| Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents F Pizarro Bejarano, L Brunke, AP Schoellig IEEE Robotics and Automation Letters 10 (1), 788 - 795, 2024 | 1 | 2024 |
| Practical Considerations for Discrete-Time Implementations of Continuous-Time Control Barrier Function-Based Safety Filters L Brunke, S Zhou, M Che, AP Schoellig American Control Conference (ACC), 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards L Brunke, Y Zhang, R Römer, J Naimer, N Staykov, S Zhou, AP Schoellig arXiv preprint arXiv:2410.15185, 2024 | | 2024 |
| Preventing Unconstrained CBF Safety Filters Caused by Invalid Relative Degree Assumptions L Brunke, S Zhou, AP Schoellig arXiv preprint arXiv:2409.11171, 2024 | | 2024 |
| 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 American Control Conference (ACC), 2024 | | 2024 |
Angela SchoelligProfessor of Robotics, Technical University of Munich and University of TorontoBestätigte E-Mail-Adresse bei tum.de
