Learning interaction for collaborative tasks with probabilistic movement primitives. - Guilherme Maeda; Marco Ewerton; Rudolf Lioutikov; Heni Ben Amor; Jan Peters 001; Gerhard Neumann (Humanoids, 2014)

Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot. - Rudolf Lioutikov; Oliver Kroemer; Guilherme Maeda; Jan Peters 001 (IAS, 2014)

Sample-based informationl-theoretic stochastic optimal control. - Rudolf Lioutikov; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (ICRA, 2014)

Generalizing Movements with Information-Theoretic Stochastic Optimal Control. - Rudolf Lioutikov; Alexandros Paraschos; Jan Peters 001; Gerhard Neumann (J. Aerosp. Inf. Syst., 2014)

Probabilistic segmentation applied to an assembly task. - Rudolf Lioutikov; Gerhard Neumann; Guilherme Maeda; Jan Peters 001 (Humanoids, 2015)

Learning multiple collaborative tasks with a mixture of Interaction Primitives. - Marco Ewerton; Gerhard Neumann; Rudolf Lioutikov; Heni Ben Amor; Jan Peters 001; Guilherme Maeda (ICRA, 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 001 (ISRR (2), 2015)

Model-Based Relative Entropy Stochastic Search. - Abbas Abdolmaleki; Rudolf Lioutikov; Jan Peters 001; Nuno Lau; Luís Paulo Reis; Gerhard Neumann (NIPS, 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 001 (CoRR, 2015)

Anticipative Interaction Primitives for Human-Robot Collaboration. - Guilherme Maeda; Aayush Maloo; Marco Ewerton; Rudolf Lioutikov; Jan Peters 001 (AAAI Fall Symposia, 2016)

Demonstration based trajectory optimization for generalizable robot motions. - Dorothea Koert; Guilherme Maeda; Rudolf Lioutikov; Gerhard Neumann; Jan Peters 001 (Humanoids, 2016)

Context-driven movement primitive adaptation. - Daniel Wilbers; Rudolf Lioutikov; Jan Peters 001 (ICRA, 2017)

Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks. - Guilherme Maeda; Gerhard Neumann; Marco Ewerton; Rudolf Lioutikov; Oliver Kroemer; Jan Peters 001 (Auton. Robots, 2017)

Learning movement primitive libraries through probabilistic segmentation. - Rudolf Lioutikov; Gerhard Neumann; Guilherme Maeda; Jan Peters 001 (Int. J. Robotics Res., 2017)

Phase estimation for fast action recognition and trajectory generation in human-robot collaboration. - Guilherme Maeda; Marco Ewerton; Gerhard Neumann; Rudolf Lioutikov; Jan Peters 001 (Int. J. Robotics Res., 2017)

Guiding Trajectory Optimization by Demonstrated Distributions. - Takayuki Osa; Amir Masoud Ghalamzan Esfahani; Rustam Stolkin; Rudolf Lioutikov; Jan Peters 001; Gerhard Neumann (IEEE Robotics Autom. Lett., 2017)

Probabilistic Prioritization of Movement Primitives. - Alexandros Paraschos; Rudolf Lioutikov; Jan Peters 001; Gerhard Neumann (IEEE Robotics Autom. Lett., 2017)

Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. - Rudolf Lioutikov; Guilherme Maeda; Filipe Veiga; Kristian Kersting; Jan Peters 001 (ICRA, 2018)

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. - Ajinkya Jain; Rudolf Lioutikov; Scott Niekum (CoRR, 2020)

Learning attribute grammars for movement primitive sequencing. - Rudolf Lioutikov; Guilherme Maeda; Filipe Veiga; Kristian Kersting; Jan Peters 001 (Int. J. Robotics Res., 2020)

Distributional Depth-Based Estimation of Object Articulation Models. - Ajinkya Jain; Stephen Giguere 001; Rudolf Lioutikov; Scott Niekum (CoRL, 2021)

Empowering Interactive Robots by Learning Through Multimodal Feedback Channel. - Cigdem Turan; Dorothea Koert; Karl David Neergaard; Rudolf Lioutikov (ICMI, 2021)

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory. - Ajinkya Jain; Rudolf Lioutikov; Caleb Chuck; Scott Niekum (ICRA, 2021)

Self-Supervised Online Reward Shaping in Sparse-Reward Environments. - Farzan Memarian; Wonjoon Goo; Rudolf Lioutikov; Scott Niekum; Ufuk Topcu (IROS, 2021)

Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots. - Akanksha Saran; Kush Desai; Mai Lee Chang; Rudolf Lioutikov; Andrea Thomaz; Scott Niekum (IROS, 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)

Curriculum-Based Imitation of Versatile Skills. - Maximilian Xiling Li; Onur Celik; Philipp Becker; Denis Blessing; Rudolf Lioutikov; Gerhard Neumann (ICRA, 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 (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)

MP3: Movement Primitive-Based (Re-)Planning Policy. - Fabian Otto; Hongyi Zhou; Onur Celik; Ge Li; Rudolf Lioutikov; Gerhard Neumann (CoRR, 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., 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)

MaIL: Improving Imitation Learning with Selective State Space Models. - Xiaogang Jia; Qian Wang; Atalay Donat; Bowen Xing; Ge Li; Hongyi Zhou; Onur Celik; Denis Blessing; Rudolf Lioutikov; Gerhard Neumann (CoRL, 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 (HRI, 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)

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 (ICLR, 2024)

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics. - Puze Liu; Jonas Günster; Niklas Funk; Simon Gröger; Dong Chen; Haitham Bou-Ammar; Julius Jankowski; Ante Maric; Sylvain Calinon; Andrej Orsula; Miguel S. Olivares-Méndez; Hongyi Zhou; et al. (NeurIPS, 2024)

Variational Distillation of Diffusion Policies into Mixture of Experts. - Hongyi Zhou; Denis Blessing; Ge Li; Onur Celik; Xiaogang Jia; Gerhard Neumann; Rudolf Lioutikov (NeurIPS, 2024)

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

Use the Force, Bot! - Force-Aware ProDMP with Event-Based Replanning. - Paul Werner Lödige; Maximilian Xiling Li; Rudolf Lioutikov (CoRR, 2024)

HyperPg - Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning. - Maximilian Xiling Li; Korbinian Franz Rudolf; Nils Blank; Rudolf Lioutikov (CoRR, 2024)

BMP: Bridging the Gap between B-Spline and Movement Primitives. - Weiran Liao; Ge Li; Hongyi Zhou; Rudolf Lioutikov; Gerhard Neumann (CoRR, 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., 2024)

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning. - Ge Li; Dong Tian; Hongyi Zhou; Xinkai Jiang; Rudolf Lioutikov; Gerhard Neumann (ICLR, 2025)

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

IRIS: An Immersive Robot Interaction System. - Xinkai Jiang; Qihao Yuan; Enes Ulas Dincer; Hongyi Zhou; Ge Li; Xueyin Li; Julius Haag; Nicolas Schreiber; Kailai Li 001; Gerhard Neumann; Rudolf Lioutikov (CoRR, 2025)

Towards Fusing Point Cloud and Visual Representations for Imitation Learning. - Atalay Donat; Xiaogang Jia; Xi Huang; Aleksandar Taranovic; Denis Blessing; Ge Li; Hongyi Zhou; Hanyi Zhang; Rudolf Lioutikov; Gerhard Neumann (CoRR, 2025)

X-IL: Exploring the Design Space of Imitation Learning Policies. - Xiaogang Jia; Atalay Donat; Xi Huang; Xuan Zhao; Denis Blessing; Hongyi Zhou; Han A. Wang; Hanyi Zhang; Qian Wang; Rudolf Lioutikov; Gerhard Neumann (CoRR, 2025)

Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection. - Xueyin Li; Xinkai Jiang; Philipp Dahlinger; Gerhard Neumann; Rudolf Lioutikov (CoRR, 2025)

Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes. - Maximilian Xiling Li; Korbinian Franz Rudolf; Nils Blank; Rudolf Lioutikov (CoRR, 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)