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ORCIDLukas Brunke
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2020 – today
- 2024
[j3]Lukas Brunke
, Siqi Zhou, Mingxuan Che, Angela P. Schoellig:
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems. IEEE Control. Syst. Lett. 8: 157-162 (2024)- [c7]Lukas Brunke, Siqi Zhou, Mingxuan Che, Angela P. Schoellig:
Practical Considerations for Discrete-Time Implementations of Continuous-Time Control Barrier Function-Based Safety Filters. ACC 2024: 272-278 - [c6]Ralf Römer, Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Is Data All That Matters? the Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems. ACC 2024: 1249-1255 - [i17]Ralf Römer, Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems. CoRR abs/2403.09504 (2024) - [i16]Lukas Brunke, Siqi Zhou, Mingxuan Che, Angela P. Schoellig:
Practical Considerations for Discrete-Time Implementations of Continuous-Time Control Barrier Function-Based Safety Filters. CoRR abs/2404.12329 (2024) - [i15]Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Preventing Unconstrained CBF Safety Filters Caused by Invalid Relative Degree Assumptions. CoRR abs/2409.11171 (2024) - [i14]Federico Pizarro Bejarano, Lukas Brunke, Angela P. Schoellig:
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents. CoRR abs/2410.11671 (2024) - [i13]Lukas Brunke, Yanni Zhang, Ralf Römer, Jack Naimer, Nikola Staykov, Siqi Zhou, Angela P. Schoellig:
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards. CoRR abs/2410.15185 (2024) - 2023
- [c5]Federico Pizarro Bejarano, Lukas Brunke, Angela P. Schoellig:
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon. CDC 2023: 4723-4730 - [i12]Siqi Zhou, Lukas Brunke, Allen Tao, Adam W. Hall, Federico Pizarro Bejarano, Jacopo Panerati, Angela P. Schoellig:
What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities. CoRR abs/2308.10008 (2023) - [i11]Spencer Teetaert, Wenda Zhao, Xinyuan Niu, Hashir Zahir, Huiyu Leong, Michel Hidalgo, Gerardo Puga, Tomas Lorente, Nahuel Espinosa, John Alejandro Duarte Carrasco, Kaizheng Zhang, Jian Di, Tao Jin, Xiaohan Li, Yijia Zhou, Xiuhua Liang, Chenxu Zhang, Antonio Loquercio, Siqi Zhou, Lukas Brunke, Melissa Greeff, Wolfgang Hönig, Jacopo Panerati, Angela P. Schoellig:
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges. CoRR abs/2308.16743 (2023) - [i10]Federico Pizarro Bejarano, Lukas Brunke, Angela P. Schoellig:
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon. CoRR abs/2309.11453 (2023) - [i9]Aoran Jiao, Tanmay P. Patel, Sanjmi Khurana, Anna-Mariya Korol, Lukas Brunke, Vivek K. Adajania, Utku Culha, Siqi Zhou, Angela P. Schoellig:
Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design. CoRR abs/2312.01059 (2023) - [i8]Lukas Brunke, Siqi Zhou, Mingxuan Che, Angela P. Schoellig:
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems. CoRR abs/2312.09565 (2023) - 2022
- [j2]Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, Angela P. Schoellig:
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning. Annu. Rev. Control. Robotics Auton. Syst. 5: 411-444 (2022) - [j1]Zhaocong Yuan, Adam W. Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig:
Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics. IEEE Robotics Autom. Lett. 7(4): 11142-11149 (2022) - [c4]Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems. CDC 2022: 3051-3058 - [c3]Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems. L4DC 2022: 881-892 - [i7]Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems. CoRR abs/2204.03801 (2022) - [i6]Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems. CoRR abs/2212.08900 (2022) - 2021
- [c2]Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks. CDC 2021: 2183-2190 - [i5]Lukas Brunke, Prateek Agrawal, Nikhil George:
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison. CoRR abs/2101.10977 (2021) - [i4]Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, Angela P. Schoellig:
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning. CoRR abs/2108.06266 (2021) - [i3]Zhaocong Yuan, Adam W. Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig:
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning. CoRR abs/2109.06325 (2021) - [i2]Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks. CoRR abs/2110.00542 (2021) - 2020
- [c1]Lukas Brunke, Prateek Agrawal, Nikhil George:
Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison. ECCV Workshops (1) 2020: 120-134 - [i1]Lukas Brunke:
Learning Model Predictive Control for Competitive Autonomous Racing. CoRR abs/2005.00826 (2020)
Coauthor Index
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