Multinomial Processing Models for Syllogistic Reasoning: A Comparison. - Hannah Dames; Jan Ole von Hartz; Mario Kantz; Nicolas Riesterer; Marco Ragni (CogSci, 2018)

Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation. - Jan Ole von Hartz; Eugenio Chisari; Tim Welschehold; Abhinav Valada (CoRR, 2022)

MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning. - Raghu Rajan; Jessica Lizeth Borja Diaz; Suresh Guttikonda; Fabio Ferreira; André Biedenkapp; Jan Ole von Hartz; Frank Hutter (J. Artif. Intell. Res., 2023)

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. - Jan Ole von Hartz; Eugenio Chisari; Tim Welschehold; Wolfram Burgard; Joschka Boedecker; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

Zero-Cost Whole-Body Teleoperation for Mobile Manipulation. - Daniel Honerkamp; Harsh Mahesheka; Jan Ole von Hartz; Tim Welschehold; Abhinav Valada (CoRR, 2024)

The Art of Imitation: Learning Long-Horizon Manipulation Tasks From Few Demonstrations. - Jan Ole von Hartz; Tim Welschehold; Abhinav Valada; Joschka Boedecker (IEEE Robotics Autom. Lett., 2024)

Robotic Task Ambiguity Resolution via Natural Language Interaction. - Eugenio Chisari; Jan Ole von Hartz; Fabien Despinoy; Abhinav Valada (CoRR, 2025)

Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost. - Daniel Honerkamp; Harsh Mahesheka; Jan Ole von Hartz; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2025)

The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning. - Jan Ole von Hartz; Adrian Röfer; Joschka Boedecker; Abhinav Valada (CoRR, 2025)