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Moritz Reuss
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Year
Goal-conditioned imitation learning using score-based diffusion policies
M Reuss, M Li, X Jia, R Lioutikov
Robotics: Science and Systems 2023, 2023
1172023
Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
M Reuss, ÖE Yağmurlu, F Wenzel, R Lioutikov
Robotics: Science and Systems 2024, 2024
28*2024
Towards diverse behaviors: A benchmark for imitation learning with human demonstrations
X Jia, D Blessing, X Jiang, M Reuss, A Donat, R Lioutikov, G Neumann
ICLR 2024, 2024
202024
Information maximizing curriculum: A curriculum-based approach for learning versatile skills
D Blessing, O Celik, X Jia, M Reuss, M Li, R Lioutikov, G Neumann
Advances in Neural Information Processing Systems 36, 2024
14*2024
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
M Reuss, N van Duijkeren, R Krug, P Becker, V Shaj, G Neumann
Robotics: Science and Systems 2022, 2022
92022
Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models
N Blank, M Reuss, M Rühle, ÖE Yağmurlu, F Wenzel, O Mees, R Lioutikov
8th Annual Conference on Robot Learning, 0
1*
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
M Reuss, J Pari, P Agrawal, R Lioutikov
arXiv preprint arXiv:2412.12953, 2024
2024
Method for determining a torque for an operation of a robot using a model and method for teaching the model
M Reuss, N Van Duijkeren, R Krug
US Patent App. 18/319,989, 2024
2024
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Articles 1–8