Melanie N. Zeilinger

収録論文 29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

• Anytime Plug-and-Play Control with Contract-Based Distributed MPC
  2026/7/1
• VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis
  2026/4/1
• Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems
  2026/3/1
• Real-Time Online Learning for Model Predictive Control using a Spatio-Temporal Gaussian Process Approximation
  2026/3/1
• Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation
  2025/9/1
• Guaranteed Robust Nonlinear MPC via Disturbance Feedback
  2025/9/1
• Safe and Near-Optimal Control with Online Dynamics Learning
  2025/9/1
• Predictive Control for Driving under Uncertain Road Geometry Estimated from Onboard Vision
  2025/8/1
• Time-Varying Coverage Control: A Distributed Tracker-Planner MPC Framework
  2025/7/1
• DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning
  2025/7/1
• ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning
  2025/7/1
• Performance-driven Constrained Optimal Auto-Tuner for MPC
  2025/3/1
• Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds
  2024/11/1
• L4acados: Learning-based models for acados, applied to Gaussian process-based predictive control
  2024/11/1
• Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer ($\Pi$-MPC)
  2024/4/1
• Optimization-Based System Identification and Moving Horizon Estimation Using Low-Cost Sensors for a Miniature Car-Like Robot
  2024/4/1
• Safe Guaranteed Exploration for Non-linear Systems
  2024/2/1
• Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP
  2024/1/1
• Robust Nonlinear Reduced-Order Model Predictive Control
  2023/9/1
• Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation
  2022/11/1
• Near-Optimal Multi-Agent Learning for Safe Coverage Control
  2022/10/1
• Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control
  2022/9/1
• On-Policy Model Errors in Reinforcement Learning
  2021/10/1
• Contextual Tuning of Model Predictive Control for Autonomous Racing
  2021/10/1
• Design, Optimal Guidance and Control of a Low-cost Re-usable Electric Model Rocket
  2021/3/1
• Cautious Bayesian Optimization for Efficient and Scalable Policy Search
  2020/11/1
• Maximum Likelihood Methods for Inverse Learning of Optimal Controllers
  2020/5/1
• Using Human Ratings for Feedback Control: A Supervised Learning Approach with Application to Rehabilitation Robotics
  2019/6/1
• A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
  2017/5/1