Gerhard Neumann

According to our database, Gerhard Neumann authored at least 185 papers between 2007 and 2024.

Collaborative distances:

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

2024

Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts.

Onur Celik, Aleksandar Taranovic, Gerhard Neumann

CoRR, 2024

Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation.

Fabian Otto, Philipp Becker, Vien Ang Ngo, Gerhard Neumann

CoRR, 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

CoRR, 2024

Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes.

Tobias Würth, Niklas Freymuth, Clemens Zimmerling, Gerhard Neumann, Luise Kärger

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

CoRR, 2024

Neural Contractive Dynamical Systems.

Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo

CoRR, 2024

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud.

Pit Henrich, Balázs Gyenes, Paul Maria Scheikl, Gerhard Neumann, Franziska Mathis-Ullrich

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

SyMFM6D: Symmetry-Aware Multi-Directional Fusion for Multi-View 6D Object Pose Estimation.

Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann

IEEE Robotics Autom. Lett., September, 2023

Reactive motion generation on learned Riemannian manifolds.

Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo

Int. J. Robotics Res., September, 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

Human-machine symbiosis: A multivariate perspective for physically coupled human-machine systems.

Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Simon Rothfuß, Sean Kille, Philipp Dahlinger, Andreas Lindenmann, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel

Int. J. Hum. Comput. Stud., 2023

Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming.

Benjamin Alt, Urs Keßner, Aleksandar Taranovic, Darko Katic, Andreas Hermann, Rainer Jäkel, Gerhard Neumann

CoRR, 2023

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

CoRR, 2023

Latent Task-Specific Graph Network Simulators.

Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann

CoRR, 2023

Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization.

Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann

CoRR, 2023

DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes.

Philipp Blättner, Johannes Brand, Gerhard Neumann, Ngo Anh Vien

CoRR, 2023

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

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

CoRR, 2023

Swarm Reinforcement Learning For Adaptive Mesh Refinement.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, 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

LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery.

Paul Maria Scheikl, Balázs Gyenes, Rayan Younis, Christoph Haas, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

CoRR, 2023

Reinforcement Learning from Multiple Sensors via Joint Representations.

Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann

CoRR, 2023

Multi Time Scale World Models.

Vaisakh Shaj, Saleh Gholam Zadeh, Ozan Demir, Luiz R. Douat, Gerhard Neumann

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

Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift.

Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann

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

Swarm Reinforcement Learning for Adaptive Mesh Refinement.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann

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

Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills.

Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian 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

Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference.

Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adversarial Imitation Learning with Preferences.

Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Grounding Graph Network Simulators using Physical Sensor Observations.

Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects.

Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2023

Enhancing Interpretable Object Abstraction via Clustering-based Slot Initialization.

Ning Gao, Bernard Hohmann, Gerhard Neumann

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning.

Philipp Becker, Gerhard Neumann

Trans. Mach. Learn. Res., 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

A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models.

Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

CoRR, 2022

Category-Agnostic 6D Pose Estimation with Conditional Neural Processes.

Yumeng Li, Ning Gao, Hanna Ziesche, Gerhard Neumann

CoRR, 2022

Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control.

Maximilian Hüttenrauch, Gerhard Neumann

CoRR, 2022

Meta-Learning Regrasping Strategies for Physical-Agnostic Objects.

Ruijie Chen, Ning Gao, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

CoRR, 2022

End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control.

Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination.

Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl

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

MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network.

Fabian Duffhauss, Tobias Demmler, Gerhard Neumann

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

Hierarchical Policy Learning for Mechanical Search.

Oussama Zenkri, Ngo Anh Vien, Gerhard Neumann

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning.

Baris Serhan, Harit Pandya, Ayse Küçükyilmaz, Gerhard Neumann

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios.

Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

Proceedings of the Tenth International Conference on Learning Representations, 2022

FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion.

Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann

Proceedings of the Computer Vision - ECCV 2022, 2022

What Matters For Meta-Learning Vision Regression Tasks?

Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Black-Box Reinforcement Learning with Movement Primitives.

Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2022

Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors.

Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2022

2021

Deep Reinforcement Learning for Attacking Wireless Sensor Networks.

Juan Parras, Maximilian Hüttenrauch, Santiago Zazo, Gerhard Neumann

Sensors, 2021

Navigate-and-Seek: A Robotics Framework for People Localization in Agricultural Environments.

Riccardo Polvara, Francesco Del Duchetto, Gerhard Neumann, Marc Hanheide

IEEE Robotics Autom. Lett., 2021

Autonomous Robots for Space: Trajectory Learning and Adaptation Using Imitation.

R. B. Ashith Shyam, Zhou Hao, Umberto Montanaro, Shilp Dixit, Arunkumar Rathinam, Yang Gao, Gerhard Neumann, Saber Fallah

Frontiers Robotics AI, 2021

Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems.

Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Sean Kille, Philipp Dahlinger, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel

CoRR, 2021

Switching Recurrent Kalman Networks.

Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann

CoRR, 2021

Versatile Inverse Reinforcement Learning via Cumulative Rewards.

Niklas Freymuth, Philipp Becker, Gerhard Neumann

CoRR, 2021

Differentiable Robust LQR Layers.

Ngo Anh Vien, Gerhard Neumann

CoRR, 2021

A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning.

Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl

Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

Learning Riemannian Manifolds for Geodesic Motion Skills.

Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Dario Rozo

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation.

Kim Tien Ly, Mithun Poozhiyil, Harit Pandya, Gerhard Neumann, Ayse Küçükyilmaz

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning.

Paul Maria Scheikl, Balázs Gyenes, Tornike Davitashvili, Rayan Younis, André Schulze, Beat P. Müller-Stich, Gerhard Neumann, Martin Wagner, Franziska Mathis-Ullrich

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

Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty.

Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann

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

Bayesian Context Aggregation for Neural Processes.

Michael Volpp, Fabian Flürenbrock, Lukas Großberger, Christian Daniel, Gerhard Neumann

Proceedings of the 9th International Conference on Learning Representations, 2021

Differentiable Trust Region Layers for Deep Reinforcement Learning.

Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann

Proceedings of the 9th International Conference on Learning Representations, 2021

Coordinate ascent MORE with adaptive entropy control for population-based regret minimization.

Maximilian Hüttenrauch, Gerhard Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Specializing Versatile Skill Libraries using Local Mixture of Experts.

Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann

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

2020

Adaptation and Robust Learning of Probabilistic Movement Primitives.

Sebastián Gómez-González, Gerhard Neumann, Bernhard Schölkopf, Jan Peters

IEEE Trans. Robotics, 2020

Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm With an Identical Twin Master.

Jayant Singh, Aravinda Ramakrishnan Srinivasan, Gerhard Neumann, Ayse Küçükyilmaz

IEEE Trans. Haptics, 2020

A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping.

Firas Abi-Farraj, Claudio Pacchierotti, Oleg Arenz, Gerhard Neumann, Paolo Robuffo Giordano

IEEE Trans. Haptics, 2020

Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization.

Riccardo Polvara, Massimiliano Patacchiola, Marc Hanheide, Gerhard Neumann

Robotics, 2020

Next-Best-Sense: A Multi-Criteria Robotic Exploration Strategy for RFID Tags Discovery.

Riccardo Polvara, Manuel Fernández-Carmona, Gerhard Neumann, Marc Hanheide

IEEE Robotics Autom. Lett., 2020

Probabilistic Approach to Physical Object Disentangling.

Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann

IEEE Robotics Autom. Lett., 2020

Trust-Region Variational Inference with Gaussian Mixture Models.

Oleg Arenz, Mingjun Zhong, Gerhard Neumann

J. Mach. Learn. Res., 2020

Imitation Learning for Autonomous Trajectory Learning of Robot Arms in Space.

R. B. Ashith Shyam, Zhou Hao, Umberto Montanaro, Gerhard Neumann

CoRR, 2020

Non-Adversarial Imitation Learning and its Connections to Adversarial Methods.

Oleg Arenz, Gerhard Neumann

CoRR, 2020

Enhancing Grasp Pose Computation in Gripper Workspace Spheres.

Mohamed Sorour, Khaled Elgeneidy, Marc Hanheide, M. Abdalmjed, A. Srinivasan, Gerhard Neumann

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Expected Information Maximization: Using the I-Projection for Mixture Density Estimation.

Philipp Becker, Oleg Arenz, Gerhard Neumann

Proceedings of the 8th International Conference on Learning Representations, 2020

Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning.

Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann

Proceedings of the 4th Conference on Robot Learning, 2020

Haptic-guided shared control grasping: collision-free manipulation.

Soran Parsa, Disha Kamale, Sariah Mghames, Kiyanoush Nazari, Tommaso Pardi, Aravinda Ramakrishnan Srinivasan, Gerhard Neumann, Marc Hanheide, Amir Ghalamzan E

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Learning Kalman Network: A deep monocular visual odometry for on-road driving.

Cheng Zhao, Li Sun, Zhi Yan, Gerhard Neumann, Tom Duckett, Rustam Stolkin

Robotics Auton. Syst., 2019

Learning Replanning Policies With Direct Policy Search.

Florian Brandherm, Jan Peters, Gerhard Neumann, Riad Akrour

IEEE Robotics Autom. Lett., 2019

Compatible natural gradient policy search.

Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann

Mach. Learn., 2019

The kernel Kalman rule - Efficient nonparametric inference by recursive least-squares and subspace projections.

Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann

Mach. Learn., 2019

Deep Reinforcement Learning for Swarm Systems.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

J. Mach. Learn. Res., 2019

Contextual Direct Policy Search - With Regularized Covariance Matrix Estimation.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

J. Intell. Robotic Syst., 2019

Characterising 3D-printed Soft Fin Ray Robotic Fingers with Layer Jamming Capability for Delicate Grasping.

Khaled Elgeneidy, Peter Lightbody, Simon Pearson, Gerhard Neumann

Proceedings of the IEEE International Conference on Soft Robotics, 2019

Grasping Unknown Objects Based on Gripper Workspace Spheres.

Mohamed Sorour, Khaled Elgeneidy, Aravinda Srinivasan, Marc Hanheide, Gerhard Neumann

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Improving Local Trajectory Optimisation using Probabilistic Movement Primitives.

R. B. Ashith Shyam, Peter Lightbody, Gautham Das, Pengcheng Liu, Sebastián Gómez-González, Gerhard Neumann

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces.

Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann

Proceedings of the 36th International Conference on Machine Learning, 2019

Projections for Approximate Policy Iteration Algorithms.

Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement.

Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann

J. Mach. Learn. Res., 2018

An Algorithmic Perspective on Imitation Learning.

Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters

Found. Trends Robotics, 2018

Directly Printable Flexible Strain Sensors for Bending and Contact Feedback of Soft Actuators.

Khaled Elgeneidy, Gerhard Neumann, Michael R. Jackson, Niels Lohse

Frontiers Robotics AI, 2018

Towards Fine Grained Network Flow Prediction.

Patrick Jahnke, Emmanuel Stapf, Jonas Mieseler, Gerhard Neumann, Patrick Eugster

CoRR, 2018

Using probabilistic movement primitives in robotics.

Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann

Auton. Robots, 2018

Probabilistic movement primitives under unknown system dynamics.

Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann

Adv. Robotics, 2018

Hierarchical reinforcement learning of multiple grasping strategies with human instructions.

Takayuki Osa, Jan Peters, Gerhard Neumann

Adv. Robotics, 2018

Energy-Efficient Design and Control of a Vibro-Driven Robot.

Pengcheng Liu, Gerhard Neumann, Qinbing Fu, Simon Pearson, Hongnian Yu

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Contact Detection and Size Estimation Using a Modular Soft Gripper with Embedded Flex Sensors.

Khaled Elgeneidy, Gerhard Neumann, Simon Pearson, Michael R. Jackson, Niels Lohse

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Regularizing Reinforcement Learning with State Abstraction.

Riad Akrour, Filipe Veiga, Jan Peters, Gerhard Neumann

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.

Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann

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

Learning Coupled Forward-Inverse Models with Combined Prediction Errors.

Dorothea Koert, Guilherme Maeda, Gerhard Neumann, Jan Peters

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

Learning Robust Policies for Object Manipulation with Robot Swarms.

Gregor H. W. Gebhardt, Kevin Daun, Marius Schnaubelt, Gerhard Neumann

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

Efficient Gradient-Free Variational Inference using Policy Search.

Oleg Arenz, Mingjun Zhong, Gerhard Neumann

Proceedings of the 35th International Conference on Machine Learning, 2018

Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

Proceedings of the Swarm Intelligence - 11th International Conference, 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

A Survey of Preference-Based Reinforcement Learning Methods.

Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz

J. Mach. Learn. Res., 2017

Non-parametric Policy Search with Limited Information Loss.

Herke van Hoof, Gerhard Neumann, Jan Peters

J. Mach. Learn. 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

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

Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

CoRR, 2017

Guided Deep Reinforcement Learning for Swarm Systems.

Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann

CoRR, 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

Model-based contextual policy search for data-efficient generalization of robot skills.

Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Ai Poh Loh, Prahlad Vadakkepat, Gerhard Neumann

Artif. Intell., 2017

Hybrid control trajectory optimization under uncertainty.

Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Contextual Covariance Matrix Adaptation Evolutionary Strategies.

Abbas Abdolmaleki, Bob Price, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Empowered skills.

Alexander Gabriel, Riad Akrour, Jan Peters, Gerhard Neumann

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

Layered direct policy search for learning hierarchical skills.

Felix End, Riad Akrour, Jan Peters, Gerhard Neumann

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

A learning-based shared control architecture for interactive task execution.

Firas Abi-Farraj, Takayuki Osa, Nicolo Pedemonte, Jan Peters, Gerhard Neumann, Paolo Robuffo Giordano

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

Local Bayesian Optimization of Motor Skills.

Riad Akrour, Dmitry Sorokin, Jan Peters, Gerhard Neumann

Proceedings of the 34th International Conference on Machine Learning, 2017

Deriving and improving CMA-ES with information geometric trust regions.

Abbas Abdolmaleki, Bob Price, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Learning to Assemble Objects with a Robot Swarm.

Gregor H. W. Gebhardt, Kevin Daun, Marius Schnaubelt, Alexander Hendrich, Daniel Kauth, Gerhard Neumann

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

State-Regularized Policy Search for Linearized Dynamical Systems.

Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Policy Search with High-Dimensional Context Variables.

Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares.

Gregor H. W. Gebhardt, Andras Gabor Kupcsik, Gerhard Neumann

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Stochastic Search In Changing Situations.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Bob Price, Gerhard Neumann

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Probabilistic inference for determining options in reinforcement learning.

Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann

Mach. Learn., 2016

Hierarchical Relative Entropy Policy Search.

Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters

J. Mach. Learn. Res., 2016

Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller.

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

J. Intell. Robotic Syst., 2016

Learning a Humanoid Kick with Controlled Distance.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

Catching heuristics are optimal control policies.

Boris Belousov, Gerhard Neumann, Constantin A. Rothkopf, Jan Peters

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies.

Takayuki Osa, Jan Peters, Gerhard Neumann

Proceedings of the International Symposium on Experimental Robotics, 2016

Optimal control and inverse optimal control by distribution matching.

Oleg Arenz, Hany Abdulsamad, Gerhard Neumann

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Non-parametric contextual stochastic search.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning soft task priorities for control of redundant robots.

Valerio Modugno, Gerhard Neumann, Elmar Rueckert, Giuseppe Oriolo, Jan Peters, Serena Ivaldi

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Movement primitives with multiple phase parameters.

Marco Ewerton, Guilherme Maeda, Gerhard Neumann, Viktor Kisner, Gerrit Kollegger, Josef Wiemeyer, Jan Peters

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Model-Free Trajectory Optimization for Reinforcement Learning.

Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki

Proceedings of the 33nd International Conference on Machine Learning, 2016

Contextual Relative Entropy Policy Search with Covariance Matrix Adaptation.

Abbas Abdolmaleki, David Simões, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the 2016 International Conference on Autonomous Robot Systems and Competitions, 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

Using probabilistic movement primitives for striking movements.

Sebastián Gómez-González, Gerhard Neumann, Bernhard Schölkopf, Jan Peters

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

Contextual Stochastic Search.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Model-Based Relative Entropy Stochastic Search.

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Model-Free Preference-Based Reinforcement Learning.

Christian Wirth, Johannes Fürnkranz, Gerhard Neumann

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Model-free Probabilistic Movement Primitives for physical interaction.

Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning motor skills from partially observed movements executed at different speeds.

Marco Ewerton, Guilherme Maeda, Jan Peters, Gerhard Neumann

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Extracting low-dimensional control variables for movement primitives.

Elmar Rueckert, Jan Mundo, Alexandros Paraschos, Jan Peters, Gerhard Neumann

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

Towards learning hierarchical skills for multi-phase manipulation tasks.

Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller.

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

Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, 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

Optimizing robot striking movement primitives with Iterative Learning Control.

Okan Koc, Guilherme Maeda, Gerhard Neumann, Jan Peters

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

Learning robot in-hand manipulation with tactile features.

Herke van Hoof, Tucker Hermans, Gerhard Neumann, Jan Peters

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

Regularized covariance estimation for weighted maximum likelihood policy search methods.

Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann

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

Learning of Non-Parametric Control Policies with High-Dimensional State Features.

Herke van Hoof, Jan Peters, Gerhard Neumann

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Policy Evaluation with Temporal Differences: A Survey and Comparison (Extended Abstract).

Christoph Dann, Gerhard Neumann, Jan Peters

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014

Policy evaluation with temporal differences: a survey and comparison.

Christoph Dann, Gerhard Neumann, Jan Peters

J. Mach. Learn. Res., 2014

Generalizing Movements with Information-Theoretic Stochastic Optimal Control.

Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann

J. Aerosp. Inf. Syst., 2014

Learning modular policies for robotics.

Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters

Frontiers Comput. Neurosci., 2014

Policy Search for Path Integral Control.

Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Latent space policy search for robotics.

Kevin Sebastian Luck, Gerhard Neumann, Erik Berger, Jan Peters, Heni Ben Amor

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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 to predict phases of manipulation tasks as hidden states.

Oliver Kroemer, Herke van Hoof, Gerhard Neumann, Jan Peters

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

Interaction primitives for human-robot cooperation tasks.

Heni Ben Amor, Gerhard Neumann, Sanket Kamthe, Oliver Kroemer, Jan Peters

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

Omnidirectional Walking with a Compliant Inverted Pendulum Model.

Abbas Abdolmaleki, Nima Shafii, Luís Paulo Reis, Nuno Lau, Jan Peters, Gerhard Neumann

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Robust policy updates for stochastic optimal control.

Elmar Rueckert, Max Mindt, Jan Peters, Gerhard Neumann

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

Dimensionality reduction for probabilistic movement primitives.

Adria Colome, Gerhard Neumann, Jan Peters, Carme Torras

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

2013

A Survey on Policy Search for Robotics.

Marc Peter Deisenroth, Gerhard Neumann, Jan Peters

Found. Trends Robotics, 2013

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation.

Elmar A. Rückert, Gerhard Neumann

Artif. Life, 2013

Towards Robot Skill Learning: From Simple Skills to Table Tennis.

Jan Peters, Jens Kober, Katharina Mülling, Oliver Krömer, Gerhard Neumann

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Probabilistic Movement Primitives.

Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Autonomous reinforcement learning with hierarchical REPS.

Christian Daniel, Gerhard Neumann, Jan Peters

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning sequential motor tasks.

Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A probabilistic approach to robot trajectory generation.

Alexandros Paraschos, Gerhard Neumann, Jan Peters

Proceedings of the 13th IEEE-RAS International Conference on Humanoid Robots, 2013

Data-Efficient Generalization of Robot Skills with Contextual Policy Search.

Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Hierarchical Relative Entropy Policy Search.

Christian Daniel, Gerhard Neumann, Jan Peters

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Learned graphical models for probabilistic planning provide a new class of movement primitives.

Elmar A. Rückert, Gerhard Neumann, Marc Toussaint, Wolfgang Maass

Frontiers Comput. Neurosci., 2012

Learning concurrent motor skills in versatile solution spaces.

Christian Daniel, Gerhard Neumann, Jan Peters

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Generalization of human grasping for multi-fingered robot hands.

Heni Ben Amor, Oliver Kroemer, Ulrich Hillenbrand, Gerhard Neumann, Jan Peters

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

Biologically inspired kinematic synergies enable linear balance control of a humanoid robot.

Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass

Biol. Cybern., 2011

Variational Inference for Policy Search in changing situations.

Gerhard Neumann

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

Learning complex motions by sequencing simpler motion templates.

Gerhard Neumann, Wolfgang Maass, Jan Peters

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Fitted Q-iteration by Advantage Weighted Regression.

Gerhard Neumann, Jan Peters

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Biologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robots.

Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass

Proceedings of the 2007 7th IEEE-RAS International Conference on Humanoid Robots, November 29th, 2007

Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs.

Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass

Proceedings of the Machine Learning: ECML 2007, 2007