Rudolf Lioutikov

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 44

Top Topics

Autonomous Robots

Action Primitives

Deformable Objects

Stochastic Search

Top Venues

IEEE Robotics Autom. Lett.

Int. J. Robotics Res.

Publications

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) (2024)
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 (2024)
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)
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 (2024)
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)
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 (2024)
Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov
Variational Distillation of Diffusion Policies into Mixture of Experts. CoRR (2024)
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)
Moritz Reuss, Ömer Erdinç Yagmurlu, Fabian Wenzel, Rudolf Lioutikov
Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals. CoRR (2024)
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 (2023)
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) (2023)
Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann
MP3: Movement Primitive-Based (Re-)Planning Policy. CoRR (2023)
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 (2023)
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
Curriculum-Based Imitation of Versatile Skills. ICRA (2023)
Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Li, Rudolf Lioutikov, Gerhard Neumann
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills. NeurIPS (2023)
Moritz Reuss, Maximilian Li, Xiaogang Jia, Rudolf Lioutikov
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. Robotics: Science and Systems (2023)
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
Curriculum-Based Imitation of Versatile Skills. CoRR (2023)
Moritz Reuss, Maximilian Li, Xiaogang Jia, Rudolf Lioutikov
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies. CoRR (2023)
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)
Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. CoRR (2022)
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 (2022)
Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, Ufuk Topcu, Scott Niekum
Self-Supervised Online Reward Shaping in Sparse-Reward Environments. CoRR (2021)
Farzan Memarian, Wonjoon Goo, Rudolf Lioutikov, Scott Niekum, Ufuk Topcu
Self-Supervised Online Reward Shaping in Sparse-Reward Environments. IROS (2021)
Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum
Distributional Depth-Based Estimation of Object Articulation Models. CoRL (2021)
Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck, Scott Niekum
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. ICRA (2021)
Cigdem Turan, Dorothea Koert, Karl David Neergaard, Rudolf Lioutikov
Empowering Interactive Robots by Learning Through Multimodal Feedback Channel. ICMI (2021)
Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum
Distributional Depth-Based Estimation of Object Articulation Models. CoRR (2021)
Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters
Learning attribute grammars for movement primitive sequencing. Int. J. Robotics Res. 39 (1) (2020)
Ajinkya Jain, Rudolf Lioutikov, Scott Niekum
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. CoRR (2020)
Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters
Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. ICRA (2018)
Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters
Learning movement primitive libraries through probabilistic segmentation. Int. J. Robotics Res. 36 (8) (2017)
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) (2017)
Daniel Wilbers, Rudolf Lioutikov, Jan Peters
Context-driven movement primitive adaptation. ICRA (2017)
Alexandros Paraschos, Rudolf Lioutikov, Jan Peters, Gerhard Neumann
Probabilistic Prioritization of Movement Primitives. IEEE Robotics Autom. Lett. 2 (4) (2017)
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) (2017)
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) (2017)
Dorothea Koert, Guilherme Maeda, Rudolf Lioutikov, Gerhard Neumann, Jan Peters
Demonstration based trajectory optimization for generalizable robot motions. Humanoids (2016)
Guilherme Maeda, Aayush Maloo, Marco Ewerton, Rudolf Lioutikov, Jan Peters
Anticipative Interaction Primitives for Human-Robot Collaboration. AAAI Fall Symposia (2016)
Abbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann
Model-Based Relative Entropy Stochastic Search. GECCO (Companion) (2016)
Abbas Abdolmaleki, Rudolf Lioutikov, Jan Peters, Nuno Lau, Luís Paulo Reis, Gerhard Neumann
Model-Based Relative Entropy Stochastic Search. NIPS (2015)
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)
Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters
Probabilistic segmentation applied to an assembly task. Humanoids (2015)
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 (2015)
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)
Guilherme Maeda, Marco Ewerton, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Gerhard Neumann
Learning interaction for collaborative tasks with probabilistic movement primitives. Humanoids (2014)
Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann
Sample-based informationl-theoretic stochastic optimal control. ICRA (2014)
Rudolf Lioutikov, Oliver Kroemer, Guilherme Maeda, Jan Peters
Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot. IAS (2014)
Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann
Generalizing Movements with Information-Theoretic Stochastic Optimal Control. J. Aerosp. Inf. Syst. 11 (9) (2014)