Jens Kober

According to our database, Jens Kober authored at least 127 papers between 2008 and 2024.

Collaborative distances:

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

2024

Simultaneously learning intentions and preferences during physical human-robot cooperation.

Linda F. van der Spaa, Jens Kober, Michael Gienger

Auton. Robots, July, 2024

Robust Jumping With an Articulated Soft Quadruped Via Trajectory Optimization and Iterative Learning.

Jiatao Ding, Mees A. van Löben Sels, Franco Angelini, Jens Kober, Cosimo Della Santina

IEEE Robotics Autom. Lett., January, 2024

Do You Need a Hand? - A Bimanual Robotic Dressing Assistance Scheme.

Jihong Zhu, Michael Gienger, Giovanni Franzese, Jens Kober

IEEE Trans. Robotics, 2024

Quadratic Programming-Based Reference Spreading Control for Dual-Arm Robotic Manipulation With Planned Simultaneous Impacts.

Jari J. van Steen, Gijs van den Brandt, Nathan van de Wouw, Jens Kober, Alessandro Saccon

IEEE Trans. Robotics, 2024

Robust Quadrupedal Jumping With Impact-Aware Landing: Exploiting Parallel Elasticity.

Jiatao Ding, Vassil Atanassov, Edoardo Panichi, Jens Kober, Cosimo Della Santina

IEEE Trans. Robotics, 2024

Efficient Parallelized Simulation of Cyber-Physical Systems.

Bas van der Heijden, Laura Ferranti, Jens Kober, Robert Babuska

Trans. Mach. Learn. Res., 2024

Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning.

Mariano Ramírez Montero, Ebrahim Shahabi, Giovanni Franzese, Jens Kober, Barbara Mazzolai, Cosimo Della Santina

CoRR, 2024

Task-unaware Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation.

Pengzhi Yang, Xinyu Wang, Ruipeng Zhang, Cong Wang, Frans A. Oliehoek, Jens Kober

CoRR, 2024

Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions.

Cong Wang, Aoming Liang, Fei Han, Xinyu Zeng, Zhibin Li, Dixia Fan, Jens Kober

CoRR, 2024

ILeSiA: Interactive Learning of Situational Awareness from Camera Input.

Petr Vanc, Giovanni Franzese, Jan Kristof Behrens, Cosimo Della Santina, Karla Stépánová, Jens Kober

CoRR, 2024

Leveraging LLMs, Graphs and Object Hierarchies for Task Planning in Large-Scale Environments.

Rodrigo Pérez-Dattari, Zhaoting Li, Robert Babuska, Jens Kober, Cosimo Della Santina

CoRR, 2024

EAGERx: Graph-Based Framework for Sim2real Robot Learning.

Bas van der Heijden, Jelle Luijkx, Laura Ferranti, Jens Kober, Robert Babuska

CoRR, 2024

Generalization of Task Parameterized Dynamical Systems using Gaussian Process Transportation.

Giovanni Franzese, Ravi Prakash, Jens Kober

CoRR, 2024

ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models.

Runyu Ma, Jelle Luijkx, Zlatan Ajanovic, Jens Kober

CoRR, 2024

RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions.

Khaled A. Mustafa, Daniel Jarne Ornia, Jens Kober, Javier Alonso-Mora

CoRR, 2024

Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-free Design.

Vassil Atanassov, Jiatao Ding, Jens Kober, Ioannis Havoutis, Cosimo Della Santina

CoRR, 2024

Robust Multi-Modal Density Estimation.

Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

CoRR, 2024

A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going.

Di Wu, Renchi Zhang, Ameya Pore, Diego Dall'Alba, Xuan Thao Ha, Zhen Li, Yao Zhang, Fernando Herrera, Mouloud Ourak, Wojtek Kowalczyk, Elena De Momi, Alícia Casals, Jenny Dankelman, Jens Kober, Arianna Menciassi, Paolo Fiorini, Emmanuel B. Vander Poorten

Biomed. Signal Process. Control., 2024

An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks.

Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

RLJ, 2024

An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data.

Tomás Coleman, Robert Babuska, Jens Kober, Cosimo Della Santina

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Extended Abstract: Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios.

Julian F. Schumann, Jens Kober, Arkady Zgonnikov

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

TrajFlow: Learning Distributions over Trajectories for Human Behavior Prediction.

Anna Mészáros, Julian Frederik Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

ROME: Robust Multi-Modal Density Estimator.

Anna Mészáros, Julian F. Schumann, Javier Alonso-Mora, Arkady Zgonnikov, Jens Kober

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds.

Francesco Vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Stable Motion Primitives via Imitation and Contrastive Learning.

Rodrigo Pérez-Dattari, Jens Kober

IEEE Trans. Robotics, October, 2023

Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback.

Carlos Celemin, Jens Kober

Neural Comput. Appl., August, 2023

An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Separated Path and Velocity Preferences.

Armin Avaei, Linda F. van der Spaa, Luka Peternel, Jens Kober

Robotics, April, 2023

Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios.

Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov

IEEE Trans. Intell. Veh., March, 2023

Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization.

Daniel Jarne Ornia, Giannis Delimpaltadakis, Jens Kober, Javier Alonso-Mora

CoRR, 2023

Deep Metric Imitation Learning for Stable Motion Primitives.

Rodrigo Pérez-Dattari, Cosimo Della Santina, Jens Kober

CoRR, 2023

A Simple Open-Loop Baseline for Reinforcement Learning Locomotion Tasks.

Antonin Raffin, Olivier Sigaud, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

CoRR, 2023

TrajFlow: Learning the Distribution over Trajectories.

Anna Mészáros, Javier Alonso-Mora, Jens Kober

CoRR, 2023

Learning from Few Demonstrations with Frame-Weighted Motion Generation.

Jianyong Sun, Jihong Zhu, Jens Kober, Michael Gienger

CoRR, 2023

Robotic Fabric Flattening with Wrinkle Direction Detection.

Yulei Qiu, Jihong Zhu, Cosimo Della Santina, Michael Gienger, Jens Kober

CoRR, 2023

An Incremental Inverse Reinforcement Learning Approach for Motion Planning with Human Preferences.

Armin Avaei, Linda F. van der Spaa, Luka Peternel, Jens Kober

CoRR, 2023

Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study.

Julian Frederik Schumann, Aravinda Ramakrishnan Srinivasan, Jens Kober, Gustav Markkula, Arkady Zgonnikov

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments.

Khaled A. Mustafa, Oscar de Groot, Xinwei Wang, Jens Kober, Javier Alonso-Mora

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

Robotic Packaging Optimization with Reinforcement Learning.

Eveline Drijver, Rodrigo Pérez-Dattari, Jens Kober, Cosimo Della Santina, Zlatan Ajanovic

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Challenges and Outlook in Robotic Manipulation of Deformable Objects.

Jihong Zhu, Andrea Cherubini, Claire Dune, David Navarro-Alarcon, Farshid Alambeigi, Dmitry Berenson, Fanny Ficuciello, Kensuke Harada, Jens Kober, Xiang Li, Jia Pan, Wenzhen Yuan, Michael Gienger

IEEE Robotics Autom. Mag., 2022

Learning Task-Parameterized Skills From Few Demonstrations.

Jihong Zhu, Michael Gienger, Jens Kober

IEEE Robotics Autom. Lett., 2022

Learning to Pick at Non-Zero-Velocity From Interactive Demonstrations.

Anna Mészáros, Giovanni Franzese, Jens Kober

IEEE Robotics Autom. Lett., 2022

Interactive Imitation Learning in Robotics: A Survey.

Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober

Found. Trends Robotics, 2022

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning.

Jelle Luijkx, Zlatan Ajanovic, Laura Ferranti, Jens Kober

CoRR, 2022

Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios.

Julian Frederik Schumann, Jens Kober, Arkady Zgonnikov

CoRR, 2022

Interactive Imitation Learning of Bimanual Movement Primitives.

Giovanni Franzese, Leandro de Souza Rosa, Tim Verburg, Luka Peternel, Jens Kober

CoRR, 2022

Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field.

Yurui Du, Flavia Sofia Acerbo, Jens Kober, Tong Duy Son

CoRR, 2022

Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration.

Mariano Ramírez Montero, Giovanni Franzese, Jeroen Zwanepol, Jens Kober

CoRR, 2022

Learning to Exploit Elastic Actuators for Quadruped Locomotion.

Antonin Raffin, Daniel Seidel, Jens Kober, Alin Albu-Schäffer, João Silvério, Freek Stulp

CoRR, 2022

Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning.

Padmaja Kulkarni, Jens Kober, Robert Babuska, Cosimo Della Santina

Adv. Intell. Syst., 2022

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics.

Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas

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

Automatic Tuning and Selection of Whole-Body Controllers.

Evelyn D'Elia, Jean-Baptiste Mouret, Jens Kober, Serena Ivaldi

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

Development and testing of a prototype of a dental extraction trainer with real-time feedback on forces, torques, and angular velocity.

Maaike G. Beuling, Tom C. T. van Riet, Jan van Frankenhuyzen, Reinier van Antwerpen, Bas de Blocq van Scheltinga, Arnout H. H. Dourleijn, Dzan Ireiz, Sander Streefkerk, Jonathan C. van Zanten Jan de Lange, Jens Kober, Dimitra Dodou

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

GEM: Glare or Gloom, I Can Still See You - End-to-End Multi-Modal Object Detection.

Osama Mazhar, Robert Babuska, Jens Kober

IEEE Robotics Autom. Lett., 2021

Teaching Robots to Grasp Like Humans: An Interactive Approach.

Anna Mészáros, Giovanni Franzese, Jens Kober

CoRR, 2021

GEM: Glare or Gloom, I Can Still See You - End-to-End Multimodal Object Detector.

Osama Mazhar, Jens Kober, Robert Babuska

CoRR, 2021

Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions.

Osama Mazhar, Jens Kober

CoRR, 2021

Interactive Learning of Sensor Policy Fusion.

Bart Bootsma, Giovanni Franzese, Jens Kober

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

DeepKoCo: Efficient latent planning with a task-relevant Koopman representation.

Bas van der Heijden, Laura Ferranti, Jens Kober, Robert Babuska

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

ILoSA: Interactive Learning of Stiffness and Attractors.

Giovanni Franzese, Anna Mészáros, Luka Peternel, Jens Kober

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

Imitation Learning with Inconsistent Demonstrations through Uncertainty-based Data Manipulation.

Peter Valletta, Rodrigo Pérez-Dattari, Jens Kober

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

Uncertainties based queries for Interactive policy learning with evaluations and corrections.

Carlos Celemin, Jens Kober

Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

Smooth Exploration for Robotic Reinforcement Learning.

Antonin Raffin, Jens Kober, Freek Stulp

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

2020

Learning Sequential Force Interaction Skills.

Simon Manschitz, Michael Gienger, Jens Kober, Jan Peters

Robotics, 2020

Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback.

Rodrigo Pérez-Dattari, Carlos Celemin, Giovanni Franzese, Javier Ruiz-del-Solar, Jens Kober

IEEE Robotics Autom. Mag., 2020

Deep Learning and Machine Learning in Robotics [From the Guest Editors].

Fabio Bonsignorio, David Hsu, Matthew Johnson-Roberson, Jens Kober

IEEE Robotics Autom. Mag., 2020

DeepKoCo: Efficient latent planning with an invariant Koopman representation.

Bas van der Heijden, Laura Ferranti, Jens Kober, Robert Babuska

CoRR, 2020

Tactile-Based Self-supervised Pose Estimation for Robust Grasping.

Padmaja Kulkarni, Jens Kober, Robert Babuska

Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Predicting and Optimizing Ergonomics in Physical Human-Robot Cooperation Tasks.

Linda F. van der Spaa, Michael Gienger, Tamas Bates, Jens Kober

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

Robot Technology in Analyzing Tooth Removal - a Proof of Concept.

Tom C. T. van Riet, Willem M. de Graaf, Reinier van Antwerpen, Jan van Frankenhuyzen, Jan de Lange, Jens Kober

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Interactive Imitation Learning in State-Space.

Snehal Jauhri, Carlos Celemin, Jens Kober

Proceedings of the 4th Conference on Robot Learning, 2020

Learning Interactively to Resolve Ambiguity in Reference Frame Selection.

Giovanni Franzese, Carlos Celemin, Jens Kober

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Reinforcement learning of motor skills using Policy Search and human corrective advice.

Carlos Celemin, Guilherme Maeda, Javier Ruiz-del-Solar, Jan Peters, Jens Kober

Int. J. Robotics Res., 2019

Reinforcement learning based compensation methods for robot manipulators.

Yudha P. Pane, Subramanya Nageshrao, Jens Kober, Robert Babuska

Eng. Appl. Artif. Intell., 2019

Learning Gaussian Policies from Corrective Human Feedback.

Daan Wout, Jan Scholten, Carlos Celemin, Jens Kober

CoRR, 2019

A fast hybrid reinforcement learning framework with human corrective feedback.

Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober

Auton. Robots, 2019

Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach.

Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober

Proceedings of the International Conference on Robotics and Automation, 2019

Deep Reinforcement Learning with Feedback-based Exploration.

Jan Scholten, Daan Wout, Carlos Celemin, Jens Kober

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed.

Nikolaos Moustakis, Sebastiaan Paul Mulders, Jens Kober, Jan-Willem van Wingerden

Proceedings of the 2019 American Control Conference, 2019

Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback.

Carlos Celemin, Jens Kober

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018

Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations.

Simon Manschitz, Michael Gienger, Jens Kober, Jan Peters

IEEE Robotics Autom. Lett., 2018

Integrating State Representation Learning Into Deep Reinforcement Learning.

Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska

IEEE Robotics Autom. Lett., 2018

Experience Selection in Deep Reinforcement Learning for Control.

Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska

J. Mach. Learn. Res., 2018

Reinforcement learning for control: Performance, stability, and deep approximators.

Lucian Busoniu, Tim de Bruin, Domagoj Tolic, Jens Kober, Ivana Palunko

Annu. Rev. Control., 2018

Head-tracked off-axis perspective projection improves gaze readability of 3D virtual avatars.

Tamas Bates, Jens Kober, Michael Gienger

Proceedings of the SIGGRAPH Asia 2018 Technical Briefs, Tokyo, Japan, December 04-07, 2018, 2018

Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks.

Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar, Jens Kober

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Human-Robot Cooperative Object Manipulation with Contact Changes.

Michael Gienger, Dirk Ruiken, Tamas Bates, Mohamed Regaieg, Michael MeiBner, Jens Kober, Philipp Seiwald, Arne-Christoph Hildebrandt

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

2016

Robot Learning.

Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, J. Andrew Bagnell, Stefan Schaal

Proceedings of the Springer Handbook of Robotics, 2016

Probabilistic decomposition of sequential force interaction tasks into Movement Primitives.

Simon Manschitz, Michael Gienger, Jens Kober, Jan Peters

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

Improved deep reinforcement learning for robotics through distribution-based experience retention.

Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska

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

Learning state representation for deep actor-critic control.

Jelle Munk, Jens Kober, Robert Babuska

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations.

Simon Manschitz, Jens Kober, Michael Gienger, Jan Peters

Robotics Auton. Syst., 2015

Probabilistic progress prediction and sequencing of concurrent movement primitives.

Simon Manschitz, Jens Kober, Michael Gienger, Jan Peters

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

Learning movement primitives for force interaction tasks.

Jens Kober, Michael Gienger, Jochen J. Steil

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

2014

Learning Motor Skills - From Algorithms to Robot Experiments

Jens Kober, Jan Peters

Springer Tracts in Advanced Robotics 97, Springer, ISBN: 978-3-319-03193-4, 2014

Learning motor skills: from algorithms to robot experiments.

Jens Kober

it Inf. Technol., 2014

Learning to sequence movement primitives from demonstrations.

Simon Manschitz, Jens Kober, Michael Gienger, Jan Peters

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

Learning to select and generalize striking movements in robot table tennis.

Katharina Mülling, Jens Kober, Oliver Kroemer, Jan Peters

Int. J. Robotics Res., 2013

Reinforcement learning in robotics: A survey.

Jens Kober, J. Andrew Bagnell, Jan Peters

Int. J. Robotics Res., 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

2012

Learning motor skills: from algorithms to robot experiments (Lernen motorischer Fähigkeiten).

Jens Kober

PhD thesis, 2012

Learning Prioritized Control of Motor Primitives

Jens Kober, Jan Peters

CoRR, 2012

Reinforcement learning to adjust parametrized motor primitives to new situations.

Jens Kober, Andreas Wilhelm, Erhan Öztop, Jan Peters

Auton. Robots, 2012

Learning throwing and catching skills.

Jens Kober, Katharina Mülling, Jan Peters

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

Playing catch and juggling with a humanoid robot.

Jens Kober, Matthew Glisson, Michael N. Mistry

Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Lernen Motorischer Fähigkeiten: Von Algorithmen zu Roboter-Experimenten.

Jens Kober

Proceedings of the Ausgezeichnete Informatikdissertationen 2012, 2012

Robot Skill Learning.

Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer

Proceedings of the ECAI 2012, 2012

Reinforcement Learning in Robotics: A Survey.

Jens Kober, Jan Peters

Proceedings of the Reinforcement Learning, 2012

2011

Policy search for motor primitives in robotics.

Jens Kober, Jan Peters

Mach. Learn., 2011

Relative Entropy Inverse Reinforcement Learning.

Abdeslam Boularias, Jens Kober, Jan Peters

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A biomimetic approach to robot table tennis.

Katharina Mülling, Jens Kober, Jan Peters

Adapt. Behav., 2011

Learning elementary movements jointly with a higher level task.

Jens Kober, Jan Peters

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Reinforcement Learning to Adjust Robot Movements to New Situations.

Jens Kober, Erhan Öztop, Jan Peters

Proceedings of the IJCAI 2011, 2011

2010

Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling.

Jens Kober, Betty J. Mohler, Jan Peters

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Imitation and Reinforcement Learning.

Jens Kober, Jan Peters

IEEE Robotics Autom. Mag., 2010

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills).

Jan Peters, Jens Kober, Stefan Schaal

Autom., 2010

Simulating Human Table Tennis with a Biomimetic Robot Setup.

Katharina Mülling, Jens Kober, Jan Peters

Proceedings of the From Animals to Animats 11, 2010

Experiments with Motor Primitives in Table Tennis.

Jan Peters, Katharina Mülling, Jens Kober

Proceedings of the Experimental Robotics, 2010

Movement templates for learning of hitting and batting.

Jens Kober, Katharina Mülling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schölkopf, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Learning table tennis with a Mixture of Motor Primitives.

Katharina Mülling, Jens Kober, Jan Peters

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009

Policy Search for Motor Primitives.

Jens Kober, Jan Peters

Künstliche Intell., 2009

Towards Motor Skill Learning for Robotics.

Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer

Proceedings of the Robotics Research - The 14th International Symposium, 2009

Learning motor primitives for robotics.

Jens Kober, Jan Peters

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Learning New Basic Movements for Robotics.

Jens Kober, Jan Peters

Proceedings of the Autonome Mobile Systeme 2009, 2009

Using reward-weighted imitation for robot Reinforcement Learning.

Jan Peters, Jens Kober

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008

Using Bayesian Dynamical Systems for Motion Template Libraries.

Silvia Chiappa, Jens Kober, Jan Peters

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

Learning perceptual coupling for motor primitives.

Jens Kober, Betty J. Mohler, Jan Peters

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Policy Learning - A Unified Perspective with Applications in Robotics.

Jan Peters, Jens Kober, Duy Nguyen-Tuong

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008