Michael Meindl

According to our database, Michael Meindl authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Autonomous Iterative Learning Control: Efficient Real-World Learning of Reference Tracking despite Unknown Dynamics.

Michael Meindl

PhD thesis, 2026

2025

Iterative Model Learning and Dual Iterative Learning Control: A Unified Framework for Data-Driven Iterative Learning Control.

Michael Meindl, Simon Bachhuber, Thomas Seel

IEEE Trans. Autom. Control., December, 2025

Dual Iterative Learning Control for Multiple-Input Multiple-Output Dynamics with Validation in Robotic Systems.

Jan-Hendrik Ewering, Alessandro Papa, Simon F. G. Ehlers, Thomas Seel, Michael Meindl

CoRR, September, 2025

Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge.

Björn Volkmann, Jan-Hendrik Ewering, Michael Meindl, Simon F. G. Ehlers, Thomas Seel

CoRR, August, 2025

2024

Gaussian process-based nonlinearity compensation for pneumatic soft actuators.

Alexander Pawluchin, Michael Meindl, Ive Weygers, Thomas Seel, Ivo Boblan

Autom., May, 2024

Autonomous Iterative Motion Learning (AI-MOLE) of a SCARA Robot for Automated Myocardial Injection.

Michael Meindl, Raphael Mönkemöller, Thomas Seel

CoRR, 2024

AI-MOLE: Autonomous Iterative Motion Learning for Unknown Nonlinear Dynamics with Extensive Experimental Validation.

Michael Meindl, Simon Bachhuber, Thomas Seel

CoRR, 2024

Solving Motion Tasks with Challenging Dynamics by Combining Kinodynamic Motion Planning and Iterative Learning Control.

Michael Meindl, Ferdinand Campe, Dustin Lehmann, Thomas Seel

Proceedings of the European Control Conference, 2024

Reference-Adapting Iterative Learning Control for Motion Optimization in Constrained Environments.

Michael Meindl, Simon Bachhuber, Thomas Seel

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline.

Jan-Hendrik Ewering, Björn Volkmann, Simon F. G. Ehlers, Thomas Seel, Michael Meindl

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2022

Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks.

Michael Meindl, Fabio Molinari, Dustin Lehmann, Thomas Seel

IEEE Trans. Control. Syst. Technol., 2022

Bridging Reinforcement Learning and Iterative Learning Control: Autonomous Motion Learning for Unknown, Nonlinear Dynamics.

Michael Meindl, Dustin Lehmann, Thomas Seel

Frontiers Robotics AI, 2022

Autonomous Cycle Time Reduction of Robotic Tasks Using Iterative Learning Control.

Lorenz Halt, Michael Meindl, Victor Bayer, Werner Kraus, Thomas Seel

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020

Impact of GPS Processing on the Estimation of Snow Water Equivalent Using Refracted GPS Signals.

Ladina Steiner, Michael Meindl, Christoph Marty, Alain Geiger

IEEE Trans. Geosci. Remote. Sens., 2020

Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation.

Michael Meindl, Fabio Molinari, Jörg Raisch, Thomas Seel

CoRR, 2020

2019

Miranda35 Experiments in Preparation for Small Uav-Based Sar.

Daniel Henke, Michael Caris, Stephan Stanko, Matthias Renker, Peter Wellig, Max Frioud, Julian Fagir, Sébastien Guillaume, Michael Meindl, Alain Geiger, Stefan Sieger, Daniel Janssen, Frank Klöppel

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019