Lukas Brunke
Lukas Brunke
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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
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
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
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison
L Brunke, P Agrawal, N George
European Conference on Computer Vision, 120-134, 2020
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
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
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
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