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ORCIDRudolf Lioutikov
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2020 – today
- 2024
[j9]Paul Maria Scheikl
, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich:
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. IEEE Robotics Autom. Lett. 9(6): 5338-5345 (2024)- [c23]Xinkai Jiang, Paul Mattes, Xiaogang Jia, Nicolas Schreiber, Gerhard Neumann, Rudolf Lioutikov:
A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning. HRI 2024: 333-342 - [c22]Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann:
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. ICLR 2024 - [c21]Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann:
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. ICLR 2024 - [i17]Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann:
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. CoRR abs/2401.11437 (2024) - [i16]Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann:
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations. CoRR abs/2402.14606 (2024) - [i15]Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
MaIL: Improving Imitation Learning with Mamba. CoRR abs/2406.08234 (2024) - [i14]Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov:
Variational Distillation of Diffusion Policies into Mixture of Experts. CoRR abs/2406.12538 (2024) - [i13]Moritz Reuss, Ömer Erdinç Yagmurlu, Fabian Wenzel, Rudolf Lioutikov:
Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals. CoRR abs/2407.05996 (2024) - [i12]Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov:
Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning. CoRR abs/2409.11144 (2024) - 2023
- [j8]Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann:
ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. IEEE Robotics Autom. Lett. 8(4): 2325-2332 (2023) - [c20]Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
Curriculum-Based Imitation of Versatile Skills. ICRA 2023: 2951-2957 - [c19]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills. NeurIPS 2023 - [c18]Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov:
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. Robotics: Science and Systems 2023 - [i11]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts. CoRR abs/2303.15349 (2023) - [i10]Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov:
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. CoRR abs/2304.02532 (2023) - [i9]Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
Curriculum-Based Imitation of Versatile Skills. CoRR abs/2304.05171 (2023) - [i8]Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann:
MP3: Movement Primitive-Based (Re-)Planning Policy. CoRR abs/2306.12729 (2023) - [i7]Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich:
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. CoRR abs/2312.10008 (2023) - 2022
- [c17]Akanksha Saran, Kush Desai, Mai Lee Chang, Rudolf Lioutikov, Andrea Thomaz, Scott Niekum:
Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots. IROS 2022: 9172-9179 - [i6]Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann:
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. CoRR abs/2210.01531 (2022) - [i5]Akanksha Saran, Kush Desai, Mai Lee Chang, Rudolf Lioutikov, Andrea Thomaz, Scott Niekum:
Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots. CoRR abs/2211.00352 (2022) - 2021
- [c16]Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum:
Distributional Depth-Based Estimation of Object Articulation Models. CoRL 2021: 1611-1621 - [c15]Cigdem Turan, Dorothea Koert, Karl David Neergaard, Rudolf Lioutikov:
Empowering Interactive Robots by Learning Through Multimodal Feedback Channel. ICMI 2021: 870-871 - [c14]Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck, Scott Niekum:
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. ICRA 2021: 13670-13677 - [c13]Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, Scott Niekum, Ufuk Topcu:
Self-Supervised Online Reward Shaping in Sparse-Reward Environments. IROS 2021: 2369-2375 - [i4]Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, Ufuk Topcu, Scott Niekum:
Self-Supervised Online Reward Shaping in Sparse-Reward Environments. CoRR abs/2103.04529 (2021) - [i3]Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum:
Distributional Depth-Based Estimation of Object Articulation Models. CoRR abs/2108.05875 (2021) - 2020
- [j7]Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters:
Learning attribute grammars for movement primitive sequencing. Int. J. Robotics Res. 39(1) (2020) - [i2]Ajinkya Jain, Rudolf Lioutikov, Scott Niekum:
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. CoRR abs/2008.10518 (2020)
2010 – 2019
- 2018
- [c12]Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters:
Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. ICRA 2018: 1-8 - 2017
- [j6]Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Oliver Kroemer, Jan Peters:
Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks. Auton. Robots 41(3): 593-612 (2017) - [j5]Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters:
Learning movement primitive libraries through probabilistic segmentation. Int. J. Robotics Res. 36(8): 879-894 (2017) - [j4]Guilherme Maeda, Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Jan Peters:
Phase estimation for fast action recognition and trajectory generation in human-robot collaboration. Int. J. Robotics Res. 36(13-14): 1579-1594 (2017) - [j3]Takayuki Osa, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin, Rudolf Lioutikov, Jan Peters, Gerhard Neumann:
Guiding Trajectory Optimization by Demonstrated Distributions. IEEE Robotics Autom. Lett. 2(2): 819-826 (2017) - [j2]Alexandros Paraschos, Rudolf Lioutikov, Jan Peters, Gerhard Neumann:
Probabilistic Prioritization of Movement Primitives. IEEE Robotics Autom. Lett. 2(4): 2294-2301 (2017) - [c11]Daniel Wilbers, Rudolf Lioutikov, Jan Peters:
Context-driven movement primitive adaptation. ICRA 2017: 3469-3475 - 2016
- [c10]Guilherme Maeda, Aayush Maloo, Marco Ewerton, Rudolf Lioutikov, Jan Peters:
Anticipative Interaction Primitives for Human-Robot Collaboration. AAAI Fall Symposia 2016 - [c9]Abbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann:
Model-Based Relative Entropy Stochastic Search. GECCO (Companion) 2016: 153-154 - [c8]Dorothea Koert, Guilherme Maeda, Rudolf Lioutikov, Gerhard Neumann, Jan Peters:
Demonstration based trajectory optimization for generalizable robot motions. Humanoids 2016: 515-522 - 2015
- [c7]Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters:
Probabilistic segmentation applied to an assembly task. Humanoids 2015: 533-540 - [c6]Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Guilherme Maeda:
Learning multiple collaborative tasks with a mixture of Interaction Primitives. ICRA 2015: 1535-1542 - [c5]Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Jan Peters:
A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation. ISRR (2) 2015: 253-268 - [c4]Abbas Abdolmaleki, Rudolf Lioutikov, Jan Peters, Nuno Lau, Luís Paulo Reis, Gerhard Neumann:
Model-Based Relative Entropy Stochastic Search. NIPS 2015: 3537-3545 - [i1]Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra, Marius Schmidt, Philipp Beckerle, Jan Peters:
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. CoRR abs/1510.03253 (2015) - 2014
- [j1]Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann:
Generalizing Movements with Information-Theoretic Stochastic Optimal Control. J. Aerosp. Inf. Syst. 11(9): 579-595 (2014) - [c3]Guilherme Maeda, Marco Ewerton, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Gerhard Neumann:
Learning interaction for collaborative tasks with probabilistic movement primitives. Humanoids 2014: 527-534 - [c2]Rudolf Lioutikov, Oliver Kroemer, Guilherme Maeda, Jan Peters:
Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot. IAS 2014: 1601-1611 - [c1]Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann:
Sample-based informationl-theoretic stochastic optimal control. ICRA 2014: 3896-3902
Coauthor Index
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