Jens Kober

According to our database, Jens Kober authored at least 62 papers between 2008 and 2020.

Collaborative distances:

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

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

Interactive Imitation Learning in State-Space.

Snehal Jauhri, Carlos Celemin, Jens Kober

CoRR, 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

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 P. 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

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

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

Reinforcement Learning to adjust Robot Movements to New Situations.

Jens Kober, Erhan Öztop, Jan Peters

Proceedings of the Robotics: Science and Systems VI, 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