Rudolf Lioutikov

According to our database, Rudolf Lioutikov authored at least 43 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects.

Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich

IEEE Robotics Autom. Lett., June, 2024

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

CoRR, 2024

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning.

Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2024

HyperPg - Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning.

Maximilian Xiling Li, Korbinian Franz Rudolf, Nils Blank, Rudolf Lioutikov

CoRR, 2024

Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning.

Paul Werner Lödige, Maximilian Xiling Li, Rudolf Lioutikov

CoRR, 2024

Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals.

Moritz Reuss, Ömer Erdinç Yagmurlu, Fabian Wenzel, Rudolf Lioutikov

CoRR, 2024

Variational Distillation of Diffusion Policies into Mixture of Experts.

Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

CoRR, 2024

MaIL: Improving Imitation Learning with Mamba.

Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2024

Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning.

Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Comprehensive User Study on Augmented Reality-Based Data Collection Interfaces for Robot Learning.

Xinkai Jiang, Paul Mattes, Xiaogang Jia, Nicolas Schreiber, Gerhard Neumann, Rudolf Lioutikov

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives.

Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann

IEEE Robotics Autom. Lett., April, 2023

MP3: Movement Primitive-Based (Re-)Planning Policy.

Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann

CoRR, 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

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies.

Moritz Reuss, Maximilian Xiling Li, Xiaogang Jia, Rudolf Lioutikov

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Curriculum-Based Imitation of Versatile Skills.

Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives.

Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann

CoRR, 2022

Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots.

Akanksha Saran, Kush Desai, Mai Lee Chang, Rudolf Lioutikov, Andrea Thomaz, Scott Niekum

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Self-Supervised Online Reward Shaping in Sparse-Reward Environments.

Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, Scott Niekum, Ufuk Topcu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.

Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck, Scott Niekum

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Empowering Interactive Robots by Learning Through Multimodal Feedback Channel.

Cigdem Turan, Dorothea Koert, Karl David Neergaard, Rudolf Lioutikov

Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Distributional Depth-Based Estimation of Object Articulation Models.

Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Learning attribute grammars for movement primitive sequencing.

Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters

Int. J. Robotics Res., 2020

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.

Ajinkya Jain, Rudolf Lioutikov, Scott Niekum

CoRR, 2020

2018

Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives.

Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Probabilistic Prioritization of Movement Primitives.

Alexandros Paraschos, Rudolf Lioutikov, Jan Peters, Gerhard Neumann

IEEE Robotics Autom. Lett., 2017

Guiding Trajectory Optimization by Demonstrated Distributions.

Takayuki Osa, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin, Rudolf Lioutikov, Jan Peters, Gerhard Neumann

IEEE Robotics Autom. Lett., 2017

Phase estimation for fast action recognition and trajectory generation in human-robot collaboration.

Guilherme Maeda, Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Jan Peters

Int. J. Robotics Res., 2017

Learning movement primitive libraries through probabilistic segmentation.

Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters

Int. J. Robotics Res., 2017

Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks.

Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Oliver Kroemer, Jan Peters

Auton. Robots, 2017

Context-driven movement primitive adaptation.

Daniel Wilbers, Rudolf Lioutikov, Jan Peters

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Demonstration based trajectory optimization for generalizable robot motions.

Dorothea Koert, Guilherme Maeda, Rudolf Lioutikov, Gerhard Neumann, Jan Peters

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Anticipative Interaction Primitives for Human-Robot Collaboration.

Guilherme Maeda, Aayush Maloo, Marco Ewerton, Rudolf Lioutikov, Jan Peters

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations.

Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra, Marius Schmidt, Philipp Beckerle, Jan Peters

CoRR, 2015

Model-Based Relative Entropy Stochastic Search.

Abbas Abdolmaleki, Rudolf Lioutikov, Jan Peters, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation.

Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Jan Peters

Proceedings of the Robotics Research, 2015

Learning multiple collaborative tasks with a mixture of Interaction Primitives.

Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Guilherme Maeda

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Probabilistic segmentation applied to an assembly task.

Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

Generalizing Movements with Information-Theoretic Stochastic Optimal Control.

Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann

J. Aerosp. Inf. Syst., 2014

Sample-based informationl-theoretic stochastic optimal control.

Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot.

Rudolf Lioutikov, Oliver Kroemer, Guilherme Maeda, Jan Peters

Proceedings of the Intelligent Autonomous Systems 13, 2014

Learning interaction for collaborative tasks with probabilistic movement primitives.

Guilherme Maeda, Marco Ewerton, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Gerhard Neumann

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014