End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. - Moritz Reuss; Niels van Duijkeren; Robert Krug 003; Philipp Becker; Vaisakh Shaj; Gerhard Neumann (Robotics: Science and Systems, 2022)

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills. - Denis Blessing; Onur Celik; Xiaogang Jia; Moritz Reuss; Maximilian Xiling Li; Rudolf Lioutikov; Gerhard Neumann (NeurIPS, 2023)

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. - Moritz Reuss; Maximilian Xiling Li; Xiaogang Jia; Rudolf Lioutikov (Robotics: Science and Systems, 2023)

Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts. - Denis Blessing; Onur Celik; Xiaogang Jia; Moritz Reuss; Maximilian Xiling Li; Rudolf Lioutikov; Gerhard Neumann (CoRR, 2023)

Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models. - Nils Blank; Moritz Reuss; Marcel Rühle; Ömer Erdinç Yagmurlu; Fabian Wenzel; Oier Mees; Rudolf Lioutikov (CoRL, 2024)

Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. - Xiaogang Jia; Denis Blessing; Xinkai Jiang; Moritz Reuss; Atalay Donat; Rudolf Lioutikov; Gerhard Neumann (ICLR, 2024)

Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals. - Moritz Reuss; Ömer Erdinç Yagmurlu; Fabian Wenzel; Rudolf Lioutikov (Robotics: Science and Systems, 2024)

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning. - Moritz Reuss; Jyothish Pari; Pulkit Agrawal 001; Rudolf Lioutikov (ICLR, 2025)

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning. - Hongyi Zhou; Weiran Liao; Xi Huang; Yucheng Tang; Fabian Otto; Xiaogang Jia; Xinkai Jiang; Simon Hilber; Ge Li; Qian Wang; Ömer Erdinç Yagmurlu; Nils Blank; et al. (CoRR, 2025)