Lukas Brunke

According to our database, Lukas Brunke authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems.

Lukas Brunke, Siqi Zhou, Mingxuan Che, Angela P. Schoellig

IEEE Control. Syst. Lett., 2024

Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems.

Ralf Römer, Lukas Brunke, Siqi Zhou, Angela P. Schoellig

CoRR, 2024

2023

Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design.

Aoran Jiao, Tanmay P. Patel, Sanjmi Khurana, Anna-Mariya Korol, Lukas Brunke, Vivek K. Adajania, Utku Culha, Siqi Zhou, Angela P. Schoellig

CoRR, 2023

A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges.

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

CoRR, 2023

What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities.

Siqi Zhou, Lukas Brunke, Allen Tao, Adam W. Hall, Federico Pizarro Bejarano, Jacopo Panerati, Angela P. Schoellig

CoRR, 2023

Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon.

Federico Pizarro Bejarano, Lukas Brunke, Angela P. Schoellig

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.

Zhaocong Yuan, Adam W. Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig

IEEE Robotics Autom. Lett., 2022

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning.

Lukas Brunke, Melissa Greeff, Adam W. Hall, Zhaocong Yuan, Siqi Zhou, Jacopo Panerati, Angela P. Schoellig

Annu. Rev. Control. Robotics Auton. Syst., 2022

Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems.

Lukas Brunke, Siqi Zhou, Angela P. Schoellig

Proceedings of the Learning for Dynamics and Control Conference, 2022

Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems.

Lukas Brunke, Siqi Zhou, Angela P. Schoellig

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.

Zhaocong Yuan, Adam W. Hall, Siqi Zhou, Lukas Brunke, Melissa Greeff, Jacopo Panerati, Angela P. Schoellig

CoRR, 2021

RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks.

Lukas Brunke, Siqi Zhou, Angela P. Schoellig

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Learning Model Predictive Control for Competitive Autonomous Racing.

Lukas Brunke

CoRR, 2020

Evaluating Input Perturbation Methods for Interpreting CNNs and Saliency Map Comparison.

Lukas Brunke, Prateek Agrawal, Nikhil George

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020