Lukas Brunke
収録論文 17本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- SQ-CBF: Signed Distance Functions for Numerically Stable Superquadric-Based Safety Filtering2026/2/1
- Where Did I Leave My Glasses? Open-Vocabulary Semantic Exploration in Real-World Semi-Static Environments2025/9/1
- Improving Drone Racing Performance Through Iterative Learning MPC2025/8/1
- Addressing Relative Degree Issues in Control Barrier Function Synthesis with Physics-Informed Neural Networks2025/4/1
- Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards2024/10/1
- Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents2024/10/1
- Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems2024/3/1
- Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design2023/12/1
- Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems2023/12/1
- Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon2023/9/1
- A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges2023/8/1
- What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities2023/8/1
- Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems2022/4/1
- RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks2021/10/1
- safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics2021/9/1
- Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning2021/8/1
- Learning Model Predictive Control for Competitive Autonomous Racing2020/5/1