Lukas Brunke
Orcid: 0000-0002-9893-9889
According to our database1,
Lukas Brunke
authored at least 18 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
2020
2021
2022
2023
2024
2025
0
1
2
3
4
5
6
1
3
3
2
1
1
2
1
2
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents.
IEEE Robotics Autom. Lett., January, 2025
2024
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems.
IEEE Control. Syst. Lett., 2024
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards.
CoRR, 2024
Preventing Unconstrained CBF Safety Filters Caused by Invalid Relative Degree Assumptions.
CoRR, 2024
Is Data All That Matters? the Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems.
Proceedings of the American Control Conference, 2024
Practical Considerations for Discrete-Time Implementations of Continuous-Time Control Barrier Function-Based Safety Filters.
Proceedings of the American Control Conference, 2024
2023
Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design.
CoRR, 2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges.
CoRR, 2023
What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities.
CoRR, 2023
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics.
IEEE Robotics Autom. Lett., 2022
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning.
Annu. Rev. Control. Robotics Auton. Syst., 2022
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning.
CoRR, 2021
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020