Jens Kober

发表

Learning Prioritized Control of Motor Primitives pdf

Jan Peters, Jens Kober, Jan Peters, 2012, ArXiv.

Learning Throwing and Catching Skills : Video Track

Jan Peters, Katharina Muelling, Jens Kober, 2012 .

Experiments with Motor Primitives in Table Tennis

Jan Peters, Katharina Mülling, Jens Kober, 2010, ISER.

Learning motor primitives for robotics

Jan Peters, Jens Kober, Jan Peters, 2009, 2009 IEEE International Conference on Robotics and Automation.

Robot Technology in Analyzing Tooth Removal - a Proof of Concept

Jens Kober, Jan de Lange, Jan van Frankenhuyzen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Probabilistic progress prediction and sequencing of concurrent movement primitives

Jan Peters, Jens Kober, Michael Gienger, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

The importance of experience replay database composition in deep reinforcement learning

Karl Tuyls, Jens Kober, Tim de Bruin, 2015 .

Reinforcement learning based compensation methods for robot manipulators

Robert Babuska, Jens Kober, Subramanya P. Nageshrao, 2019, Eng. Appl. Artif. Intell..

Imitation and Reinforcement Learning

Jan Peters, Jens Kober, Jan Peters, 2010, IEEE Robotics & Automation Magazine.

Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling

Betty J. Mohler, Jan Peters, Jens Kober, 2010, From Motor Learning to Interaction Learning in Robots.

Reinforcement Learning to Adjust Robot Movements to New Situations

Jan Peters, Jens Kober, Erhan Öztop, 2010, IJCAI.

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

Jan Peters, Jens Kober, Michael Gienger, 2018, IEEE Robotics and Automation Letters.

Reinforcement Learning to Adjust Robot Movements to New Situations

Jan Peters, Jens Kober, Erhan Öztop, 2010, IJCAI.

Policy Search for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2008, NIPS 2008.

Learning perceptual coupling for motor primitives

Betty J. Mohler, Jan Peters, Jens Kober, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Movement templates for learning of hitting and batting

Christoph H. Lampert, Bernhard Schölkopf, Oliver Kroemer, 2010, 2010 IEEE International Conference on Robotics and Automation.

Imitation and Reinforcement Learning: Practical Algorithms for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2010 .

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

Jens Kober, Carlos Celemin, 2019, 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

Relative Entropy Inverse Reinforcement Learning

Jan Peters, Abdeslam Boularias, Jens Kober, 2011, AISTATS.

Reinforcement learning in robotics: A survey

Jan Peters, Jens Kober, Jan Peters, 2013, Int. J. Robotics Res..

Learning elementary movements jointly with a higher level task

Jan Peters, Jens Kober, Jan Peters, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

Jens Kober, Michael Gienger, Tamas Bates, 2018, SIGGRAPH Asia Technical Briefs.

Nonamemanuscript No. (will be inserted by the editor) Reinforcement Learning to Adjust Parametrized Motor Primitives to

Jan Peters, Andreas Wilhelm, Jens Kober, 2011 .

Learning movement primitives for force interaction tasks

Jochen J. Steil, Jens Kober, Michael Gienger, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks

Javier Ruiz-del-Solar, Jens Kober, Rodrigo Pérez-Dattari, 2018, ISER.

Robot Learning

Stefan Schaal, Daniel D. Lee, Jan Peters, 2017, Encyclopedia of Machine Learning and Data Mining.

A biomimetic approach to robot table tennis

Jan Peters, Katharina Mülling, Jens Kober, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Noname manuscript No. (will be inserted by the editor) Policy Search for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2022 .

Towards Robot Skill Learning: From Simple Skills to Table Tennis

Oliver Kroemer, Jan Peters, Katharina Mülling, 2013, ECML/PKDD.

Learning motor skills: from algorithms to robot experiments

Jens Kober, J. Kober, 2014, it Inf. Technol..

Experience Selection in Deep Reinforcement Learning for Control

Robert Babuska, Karl Tuyls, Jens Kober, 2018, J. Mach. Learn. Res..

Reinforcement Learning of Perceptual Coupling for Motor Primitives

Jan Peters, Jens Kober, Jan Peters, 2008, EWRL 2008.

Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations

Jan Peters, Jens Kober, Michael Gienger, 2015, Robotics Auton. Syst..

Learning to Unscrew a Light Bulb from Demonstrations

Jan Peters, Jens Kober, Michael Gienger, 2014, ISR 2014.

Lernen Motorischer Fähigkeiten: Von Algorithmen zu Roboter-Experimenten

Jens Kober, Jens Kober, Jens Kober, 2012, Ausgezeichnete Informatikdissertationen.

A biomimetic approach to robot table tennis

Jan Peters, Katharina Mülling, Jens Kober, 2010, IROS.

Integrating State Representation Learning Into Deep Reinforcement Learning

Karl Tuyls, Jens Kober, Robert Babuška, 2018, IEEE Robotics and Automation Letters.

Predicting and Optimizing Ergonomics in Physical Human-Robot Cooperation Tasks

Jens Kober, Michael Gienger, Tamas Bates, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Practical Learning Algorithms for Motor Primitives in Robotics

Jan Peters, Jens Kober, Jan Peters, 2010 .

Learning Motor Skills - From Algorithms to Robot Experiments

Jan Peters, Jens Kober, Jan Peters, 2013, Springer Tracts in Advanced Robotics.

Learning table tennis with a Mixture of Motor Primitives

Jan Peters, Katharina Mülling, Jens Kober, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

Simulating Human Table Tennis with a Biomimetic Robot Setup

Jan Peters, Katharina Mülling, Jens Kober, 2010, SAB.

Learning throwing and catching skills

Jan Peters, Katharina Mülling, Jens Kober, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Deep Reinforcement Learning with Feedback-based Exploration

Jens Kober, Carlos Celemin, Jan Scholten, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Learning to sequence movement primitives from demonstrations

Jan Peters, Jens Kober, Michael Gienger, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Reinforcement learning in robotics: A survey

Jan Peters, J. Andrew Bagnell, Jens Kober, 2013, Int. J. Robotics Res..

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

Lucian Busoniu, Jens Kober, Domagoj Tolic, 2018, Annu. Rev. Control..

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten

Stefan Schaal, Jan Peters, Jens Kober, 2010 .

Playing catch and juggling with a humanoid robot

Matthew Glisson, Michael N. Mistry, Jens Kober, 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

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

Jan-Willem van Wingerden, Jens Kober, Nikolaos Moustakis, 2019, 2019 American Control Conference (ACC).

Using reward-weighted imitation for robot Reinforcement Learning

Jan Peters, Jens Kober, Jan Peters, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Policy Search for Motor Primitives

Jan Peters, Jens Kober, Jan Peters, 2009, Künstliche Intell..

Learning to select and generalize striking movements in robot table tennis

Oliver Kroemer, Jan Peters, Katharina Mülling, 2012, AAAI Fall Symposium: Robots Learning Interactively from Human Teachers.

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

Robert Babuska, Karl Tuyls, Jens Kober, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Probabilistic decomposition of sequential force interaction tasks into Movement Primitives

Jan Peters, Jens Kober, Michael Gienger, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Using Bayesian Dynamical Systems for Motion Template Libraries

Jan Peters, Jens Kober, Silvia Chiappa, 2008, NIPS.

Learning New Basic Movements for Robotics

Jan Peters, Jens Kober, Jan Peters, 2009, AMS.

Human-Robot Cooperative Object Manipulation with Contact Changes

Jens Kober, Arne-Christoph Hildebrandt, Michael Gienger, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Gaussian Policies from Corrective Human Feedback pdf

Jens Kober, Carlos Celemin, Jan Scholten, 2019, ArXiv.

Teaching Robots to Grasp Like Humans: An Interactive Approach pdf

Jens Kober, Giovanni Franzese, Anna M'esz'aros, 2021, ArXiv.

Smooth Exploration for Robotic Reinforcement Learning

Jens Kober, Freek Stulp, Antonin Raffin, 2021, CoRL.

Interactive Learning of Sensor Policy Fusion

Jens Kober, Giovanni Franzese, Bart Bootsma, 2021, 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN).

DeepKoCo: Efficient latent planning with a robust Koopman representation.

Jens Kober, Robert Babuska, Bas van der Heijden, 2021 .

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

Robert Babuska, Jens Kober, Bas van der Heijden, 2020, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Imitation Learning with Inconsistent Demonstrations through Uncertainty-based Data Manipulation

Jens Kober, Rodrigo Pérez-Dattari, Peter Valletta, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

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

Jens Kober, Padmaja Kulkarni, Robert Babuška, 2021, Advanced Intelligent Systems.

Learning Task-Parameterized Skills from Few Demonstrations

Jens Kober, Michael Gienger, Jihong Zhu, 2022, IEEE Robotics and Automation Letters.

ILoSA: Interactive Learning of Stiffness and Attractors

Jens Kober, Giovanni Franzese, Luka Peternel, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Denoising photographs using dark frames optimized by quadratic programming

Jens Kober, Bernhard Scholkopf, Manuel Gomez-Rodriguez, 2009, 2009 IEEE International Conference on Computational Photography (ICCP).