State Estimation and Model-Predictive Control for Multi-Robot Handling and Tracking of AGV Motions using iGPS. - Christoph Storm; Henrik Hose; Robert H. Schmitt (IROS, 2021)

Approximate non-linear model predictive control with safety-augmented neural networks. - Henrik Hose; Johannes Köhler 001; Melanie N. Zeilinger; Sebastian Trimpe (CoRR, 2023)

Supplementary dataset for paper: "Approximate non-linear model predictive control with safety-augmented neural networks". - Henrik Hose; Johannes Köhler 001; Melanie N. Zeilinger; Sebastian Trimpe (Zenodo, 2023)

Feedforward Controllers from Learned Dynamic Local Model Networks with Application to Excavator Assistance Functions. - Leon Greiser; Ozan Demir; Benjamin Hartmann; Henrik Hose; Sebastian Trimpe (CDC, 2024)

Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining. - Henrik Hose; Alexander Gräfe; Sebastian Trimpe (L4DC, 2024)

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Re-Training. - Henrik Hose; Alexander Gräfe; Sebastian Trimpe (CoRR, 2024)

The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated Driving. - Henrik Hose; Jan Weisgerber; Sebastian Trimpe (ICRA, 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 (CoRR, 2025)

Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks. - Henrik Hose; Johannes Köhler 001; Melanie N. Zeilinger; Sebastian Trimpe (IEEE Trans. Control. Syst. Technol., 2025)