Henrik Hose

According to our database, Henrik Hose authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot.

Devdutt Subhasish, Henrik Hose, Sebastian Trimpe

CoRR, May, 2026

Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics.

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

CoRR, April, 2026

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning.

Henrik Hose, Paul Brunzema, Devdutt Subhasish, Sebastian Trimpe

CoRR, January, 2026

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning (Dataset).

Henrik Hose, Paul Brunzema, Devdutt Subhasish, Sebastian Trimpe

Dataset, January, 2026

The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning (Dataset).

Henrik Hose, Paul Brunzema, Devdutt Subhasish, Sebastian Trimpe

Dataset, 2026

2025

Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization.

Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe

CoRR, December, 2025

Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks.

Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe

IEEE Trans. Control. Syst. Technol., November, 2025

Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions.

Pau Marquez Julbe, Julian Nubert, Henrik Hose, Sebastian Trimpe, Katherine J. Kuchenbecker

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated Driving.

Henrik Hose, Jan Weisgerber, Sebastian Trimpe

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Re-Training.

Henrik Hose, Alexander Gräfe, Sebastian Trimpe

CoRR, 2024

Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining.

Henrik Hose, Alexander Gräfe, Sebastian Trimpe

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Feedforward Controllers from Learned Dynamic Local Model Networks with Application to Excavator Assistance Functions.

Leon Greiser, Ozan Demir, Benjamin Hartmann, Henrik Hose, Sebastian Trimpe

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

2023

Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks".

Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe

Dataset, April, 2023

Approximate non-linear model predictive control with safety-augmented neural networks.

Henrik Hose, Johannes Köhler, Melanie N. Zeilinger, Sebastian Trimpe

CoRR, 2023

2021

State Estimation and Model-Predictive Control for Multi-Robot Handling and Tracking of AGV Motions using iGPS.

Christoph Storm, Henrik Hose, Robert H. Schmitt

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021