Publications

Zhu, Jihong and Cherubini, Andrea and Dune, Claire and Navarro-Alarcon, David and Alambeigi, Farshid and Berenson, Dmitry and Ficuciello, Fanny and Harada, Kensuke and Kober, Jens and Li, Xiang and Pan, Jia and Yuan, Wenzhen and Gienger, Michael, Challenges and Outlook in Robotic Manipulation of Deformable Objects , IEEE Robotics & Automation Magazine, 2022. [PDF] [Website]

Zhu, Jihong and Gienger, Michael and Kober, Jens, Learning Task-Parameterized Skills from Few Demonstrations , IEEE Robotics and Automation Letters, 2022. [DOI] [PDF] [Video] [Code] [Website]

Kulkarni, Padmaja and Kober, Jens and Babuska, Robert and Della Santina, Cosimo, Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning , Advanced Intelligent Systems, 4 (1), 2100095, 2022. [DOI] [PDF] [Video]

van Riet, Tom C.T. and Chin Jen Sem, Kevin T.H. and Ho, Jean-Pierre T.F. and Spijker, Rene and Kober, Jens and de Lange, Jan, Robot Technology in Dentistry, Part Two of a Systematic Review: An Overview of Initiatives , Dental Materials, 37 (8), 1227--1236, 2021. [DOI] [Website]

van Riet, Tom C.T. and Chin Jen Sem, Kevin T.H. and Ho, Jean-Pierre T.F. and Spijker, Rene and Kober, Jens and de Lange, Jan, Robot Technology in Dentistry, Part One of a Systematic Review: Literature Characteristics , Dental Materials, 37 (8), 1217--1226, 2021. [DOI] [Website]

Mazhar, Osama and Ramdani, Sofiane and Cherubini, Andrea, A Deep Learning Framework for Recognizing Both Static and Dynamic Gestures , Sensors, 21 (6), 2021. [DOI] [PDF] [Video]

Mazhar, Osama and Babuska, Robert and Kober, Jens, GEM: Glare or Gloom, I Can Still See You – End-to-End Multimodal Object Detector , IEEE Robotics and Automation Letters, 6 (4), 6321--6328, 2021. [DOI] [PDF]

Kulkarni, Padmaja and Kober, Jens and Babuska, Robert and Della Santina, Cosimo, Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning , Advanced Intelligent Systems, 2021. [DOI] [PDF] [Video]

Perez-Dattari, Rodrigo and Celemin, Carlos E. and Franzese, Giovanni and Ruiz-del-Solar, Javier and Kober, Jens, Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback , IEEE Robotics & Automation Magazine, 27 (2), 46--54, 2020. [DOI] [PDF] [Video] [Code]

Manschitz, Simon and Gienger, Michael and Kober, Jens and Peters, Jan, Learning Sequential Force Interaction Skills , Robotics, 9 (2), 45, 2020. [DOI] [PDF]

Chen, X. and Tan, X. and Berselli, G. and Chen, X. and Clayton, G. and Jeon, S. and Karimi, H. R. and Katsura, S. and Kober, J. and Lan, C.-C. and Leonessa, A. and Li, Z. and Liu, G. and Oetomo, D. and Oldham, K. and Pan, Y.-J. and Shimono, T. and Sun, T. and Tavakoli, M. and Ueda, J. and Vallery, H. and Xu, Q. and Yi, J. and Zhang, L. and Zuo, L., Guest Editorial: Focused Section on Inaugural Edition of TMECH/AIM Emerging Topics , IEEE/ASME Transactions on Mechatronics, 25 (4), 1695-1697, 2020. [DOI] [PDF]

Bonsignorio, Fabio and Hsu, David and Johnson-Roberson, Matthew and Kober, Jens, Deep Learning and Machine Learning in Robotics [From the Guest Editors] , IEEE Robotics & Automation Magazine, 27 (2), 20--21, 2020. [DOI] [Website]

Pane, Yudha Prawira and Nageshrao, Subramanya Prasad and Kober, Jens and Babuska, Robert, Reinforcement Learning Based Compensation Methods for Robot Manipulators , Engineering Applications of Artificial Intelligence, 78, 236--247, 2019. [DOI] [PDF] [Video]

Celemin, Carlos E. and Maeda, Guilherme and Ruiz-del-Solar, Javier and Peters, Jan and Kober, Jens, Reinforcement Learning of Motor Skills using Policy Search and Human Corrective Advice , International Journal of Robotics Research, 38 (14), 1560--1580, 2019. [DOI] [PDF] [Video]

Celemin, Carlos E. and Ruiz-del-Solar, Javier and Kober, Jens, A Fast Hybrid Reinforcement Learning Framework with Human Corrective Feedback , Autonomous Robots, 43 (5), 1173--1186, 2019. [DOI] [PDF] [Video]

Manschitz, Simon and Gienger, Michael and Kober, Jens and Peters, Jan, Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations , IEEE Robotics and Automation Letters, 3 (2), 926--933, 2018. [DOI] [PDF] [Video]

Buc soniu, Lucian and de Bruin, Tim and Tolic, Domagoj and Kober, Jens and Palunko, Ivana, Reinforcement Learning for Control: Performance, Stability, and Deep Approximators , Annual Reviews in Control, 46, 8--28, 2018. [DOI] [PDF]

de Bruin, Tim and Kober, Jens and Tuyls, Karl and Babuska, Robert, Integrating State Representation Learning into Deep Reinforcement Learning , IEEE Robotics and Automation Letters, 3 (3), 1394--1401, 2018. [DOI] [PDF]

de Bruin, Tim and Kober, Jens and Tuyls, Karl and Babuska, Robert, Experience Selection in Deep Reinforcement Learning for Control , Journal of Machine Learning Research, 19 (9), 1--56, 2018. [PDF] [Video] [Code] [Website]

van Riet, Tom Cornelis Theodorus and Kober, Jens and de Lange, Jan, Robottechnologie, is er een toekomst voor in de tandheelkunde? , Quality Practice Tandheelkunde, 12 (5), 30--35, 2017. [Website]

Manschitz, Simon and Kober, Jens and Gienger, Michael and Peters, Jan, Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations , Robotics and Autonomous Systems, 74 (Part A), 97--107, 2015. [DOI] [PDF] [Video]

Kober, Jens, Learning Motor Skills: From Algorithms to Robot Experiments , it - Information Technology, 56 (3), 141--146, 2014. [DOI]

Muelling, Katharina and Kober, Jens and Kroemer, Oliver and Peters, Jan, Learning to Select and Generalize Striking Movements in Robot Table Tennis , International Journal of Robotics Research, 32 (3), 263--279, 2013. [DOI] [PDF] [Video]

Kober, Jens and Bagnell, J. Andrew and Peters, Jan, Reinforcement Learning in Robotics: A Survey , International Journal of Robotics Research, 32 (11), 1238--1274, 2013. [DOI] [PDF]

Kober, Jens and Wilhelm, Andreas and Oztop, Erhan and Peters, Jan, Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations , Autonomous Robots, 33 (4), 361--379, 2012. [DOI] [PDF] [Video]

Muelling, Katharina and Kober, Jens and Peters, Jan, A Biomimetic Approach to Robot Table Tennis , Adaptive Behavior, 19 (5), 359--376, 2011. [DOI] [PDF] [Video]

Kober, Jens and Peters, Jan, Policy Search for Motor Primitives in Robotics , Machine Learning, 84 (1-2), 171--203, 2011. [DOI] [PDF] [Video] [Code]

Peters, Jan and Kober, Jens and Schaal, Stefan, Policy Learning Algorithmis for Motor Learning (Algorithmen zum automatischen Erlernen von Motorfahigkigkeiten) , at - Automatisierungstechnik, 58 (12), 688--694, 2010. [DOI] [PDF]

Kober, Jens and Peters, Jan, Imitation and Reinforcement Learning - Practical Algorithms for Motor Primitive Learning in Robotics , IEEE Robotics & Automation Magazine, 17 (2), 55--62, 2010. [DOI] [PDF] [Video] [Code]

Kober, Jens and Peters, Jan, Reinforcement Learning fur Motor-Primitive , K"unstliche Intelligenz, 9 (3), 38--40, 2009. [PDF] [Website]

Valletta, Peter and Perez-Dattari, Rodrigo and Kober, Jens, Imitation Learning with Inconsistent Demonstrations through Uncertainty-based Data Manipulation , IEEE International Conference on Robotics and Automation (ICRA), 3655--3661, 2021. [DOI] [Video] [Website]

Raffin, Antonin and Kober, Jens and Stulp, Freek, Smooth Exploration for Robotic Reinforcement Learning , Conference on Robot Learning (CoRL), 2021. [PDF] [Video] [Website]

Kulkarni, Padmaja and Babuska, Robert and Kober, Jens, Tactile-based Self-supervised Pose Estimation for Robust Grasping , International Symposium on Experimental Robotics (ISER), 277--284, 2021. [DOI] [PDF]

van der Heijden, Bas and Ferranti, Laura and Kober, Jens and Babuska, Robert, DeepKoCo: Efficient Latent Planning with an Invariant Koopman Representation , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 183--189, 2021. [DOI] [PDF] [Website]

Franzese, Giovanni and Meszaros, Anna and Peternel, Luka and Kober, Jens, ILoSA: Interactive Learning of Stiffness and Attractors , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 7778--7785, 2021. [DOI] [PDF] [Video] [Website]

dElia, Evelyn and Mouret, Jean-Baptiste and Kober, Jens and Ivaldi, Serena, Learning Task Controllers on a Humanoid Robot using Multi-objective Optimization , ICRA 2021: 5th Full-Day Workshop on Legged Robots (Virtual), 2021. [Website]

Celemin, Carlos and Kober, Jens, Uncertainties Based Queries for Interactive Policy Learning with Evaluations and Corrections , Companion Publication of the 2021 International Conference on Multimodal Interaction, 192--193, 2021. [DOI] [Website]

Bootsma, Bart and Franzese, Giovanni and Kober, Jens, Interactive Learning of Sensor Policy Fusion , 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), 665-670, 2021. [DOI] [Website]

van der Spaa, Linda F. and Bates, Tamas and Gienger, Michael and Kober, Jens, Predicting and Optimizing Ergonomics in Physical Human-Robot Cooperation Tasks , IEEE International Conference on Robotics and Automation (ICRA), 1799--1805, 2020. [DOI] [PDF] [Video]

van Riet, Tom Cornelis Theodorus and de Graaf, Willem Mathys and van Antwerpen, Reinier and van Frankenhuyzen, Jan and de Lange, Jan and Kober, Jens, Robot Technology in Analyzing Tooth Removal – a Proof of Concept , Annual International Conferences of the IEEE Engineering in Medicine & Biology Society (EMBC), 4721--4727, 2020. [DOI] [PDF]

Jauhri, Snehal and Celemin, Carlos E. and Kober, Jens, Interactive Imitation Learning in State-Space , Proceedings of the 2020 Conference on Robot Learning (CoRL), 155, 682--692, 2020. [PDF] [Video] [Code] [Website]

Franzese, Giovanni and Celemin, Carlos E. and Kober, Jens, Learning Interactively to Resolve Ambiguity in Reference Frame Selection , Proceedings of the 2020 Conference on Robot Learning, 155, 1298--1311, 2020. [PDF] [Video] [Website]

de Bruin, Tim and Kober, Jens and Tuyls, Karl and Babuska, Robert, Fine-tuning Deep RL with Gradient-Free Optimization , 21th IFAC World Congress, 53 (2), 8049-8056, 2020. [DOI] [PDF] [Code]

Scholten, Jan and Wout, Daan and Celemin, Carlos E. and Kober, Jens, Deep Reinforcement Learning with Feedback-based Exploration , IEEE Conference on Decision and Control (CDC), 803--808, 2019. [DOI] [PDF] [Code]

Perez-Dattari, Rodrigo and Celemin, Carlos E. and Ruiz-del-Solar, Javier and Kober, Jens, Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach , IEEE International Conference on Robotics and Automation (ICRA), 7611--7617, 2019. [DOI] [PDF] [Video] [Code]

Moustakis, Nikolaos and Mulders, Sebastiaan Paul and Kober, Jens and van Wingerden, Jan-Willem, A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed , American Control Conference (ACC), 4179--4185, 2019. [DOI] [PDF]

Celemin, Carlos E. and Kober, Jens, Simultaneous Learning of Objective Function and Policy from Interactive Teaching with Corrective Feedback , IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 726--732, 2019. [DOI] [PDF] [Video]

Rastogi, Divyam and Koryakovskiy, Ivan and Kober, Jens, Sample-efficient Reinforcement Learning via Difference Models , Third Machine Learning in Planning and Control of Robot Motion Workshop at IEEE International Conference on Robotics and Automation (ICRA), 2018. [PDF] [Video] [Website]

Perez-Dattari, Rodrigo and Celemin, Carlos E. and Ruiz-del-Solar, Javier and Kober, Jens, Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks , International Symposium on Experimental Robotics (ISER), 353--363, 2018. [DOI] [PDF] [Video] [Code]

Gienger, Michael and Ruiken, Dirk and Bates, Tamas and Regaieg, Mohamed and Meissner, Michael and Kober, Jens and Seiwald, Philipp and Hildebrandt, Arne-Christoph, Human-Robot Cooperative Object Manipulation with Contact Changes , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1354--1360, 2018. [DOI] [PDF] [Video]

Bates, Tamas and Kober, Jens and Gienger, Michael, Head-tracked off-axis perspective projection improves gaze readability of 3D virtual avatars , SIGGRAPH Asia Technical Briefs, 29:1--29:4, 2018. [DOI] [PDF]

Celemin, Carlos E. and Maeda, Guilherme and Kober, Jens and Ruiz-del-Solar, Javier, Human Corrective Advice in the Policy Search Loop , Workshop Human-in-the-loop Robotic Manipulation: On the Influence of the Human Role, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. [PDF]

van Riet, Tom Cornelis Theodorus and Kober, Jens and Griffioen, Maarten and Zhang, Xiang and van Twisk, Piet-Hein and Babuska, Robert and de Lange, Jan, Op zoek naar toepassingen van robottechnologie in de MKA-chirurgie , Annual Scientific Meeting of the Dutch Association of Oral and Maxillofacial Surgery, 2016.

Munk, Jelle and Kober, Jens and Babuska, Robert, Learning State Representation for Deep Actor-Critic Control , IEEE Conference on Decision and Control (CDC), 4667--4673, 2016. [DOI] [PDF]

Manschitz, Simon and Gienger, Michael and Kober, Jens and Peters, Jan, Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3920--3927, 2016. [DOI] [PDF]

Feirstein, Denise S. and Koryakovskiy, Ivan and Kober, Jens and Vallery, Heike, Reinforcement Learning of Potential Fields to achieve Limit-Cycle Walking , IFAC International Workshop on Periodic Control Systems (PSYCO), 49 (14), 113--118, 2016. [DOI] [PDF]

de Bruin, Tim and Kober, Jens and Tuyls, Karl and Babuska, Robert, Off Policy Experience Retention for Deep Actor Critic Learning , Deep Reinforcement Learning Workshop, Advances in Neural Information Processing Systems (NIPS), 2016. [PDF]

de Bruin, Tim and Kober, Jens and Tuyls, Karl and Babuska, Robert, Improved Deep Reinforcement Learning for Robotics Through Distribution-based Experience Retention , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3947--3952, 2016. [DOI] [PDF] [Video]

Manschitz, Simon and Kober, Jens and Gienger, Michael and Peters, Jan, Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives , IEEE/RSJ International Conference on Robot Systems (IROS), 449--455, 2015. [DOI] [PDF]

Kober, Jens and Gienger, Michael and Steil, Jochen J., Learning Movement Primitives for Force Interaction Tasks , IEEE International Conference on Robotics and Automation (ICRA), 3192--3199, 2015. [DOI] [PDF] [Video]

de Bruin, Tim and Kober, Jens and Tuyls, Karl and Babuska, Robert, The Importance of Experience Replay Database Composition in Deep Reinforcement Learning , Deep Reinforcement Learning Workshop, Advances in Neural Information Processing Systems (NIPS), 2015. [PDF] [Video]

Manschitz, Simon and Kober, Jens and Gienger, Michael and Peters, Jan, Learning to Unscrew a Light Bulb from Demonstrations , 41st International Symposium on Robotics (ISR/ROBOTIK), 264--270, 2014. [PDF] [Website]

Manschitz, Simon and Kober, Jens and Gienger, Michael and Peters, Jan, Learning to Sequence Movement Primitives from Demonstrations , IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 4414--4421, 2014. [DOI] [PDF] [Video]

Peters, Jan and Kober, Jens and Muelling, Katharina and Nguyen-Tuong, Duy and Kroemer, Oliver, Learning Skills with Motor Primitives , 16th Yale Learning Workshop, 2013.

Peters, Jan and Kober, Jens and Muelling, Katharina and Kroemer, Oliver and Neumann, Gerhard, Towards Robot Skill Learning: From Simple Skills to Table Tennis , European Conference on Machine Learning (ECML), Nectar Track, 627--631, 2013. [DOI] [PDF]

Kober, Jens, Lernen Motorischer Fahigkeiten: Von Algorithmen zu Roboter-Experimenten , Ausgezeichnete Informatikdissertationen 2012, 181--190, 2013.

Peters, Jan and Kober, Jens and Muelling, Katharina and Nguyen-Tuong, Duy and Kroemer, Oliver, Robot Skill Learning , European Conference on Artificial Intelligence (ECAI), 40--45, 2012. [DOI] [PDF]

Muelling, Katharina and Kober, Jens and Kroemer, Oliver and Peters, Jan, Learning to Select and Generalize Striking Movements in Robot Table Tennis , AAAI Fall Symposium on Robots that Learn Interactively from Human Teachers, 263--279, 2012. [PDF] [Video] [Website]

Kober, Jens and Muelling, Katharina and Peters, Jan, Learning Throwing and Catching Skills , IEEE/RSJ International Conference on Robot Systems (IROS), Video Track, 5167--5168, 2012. [DOI] [PDF] [Video]

Kober, Jens and Glisson, Matthew and Mistry, Michael, Playing Catch and Juggling with a Humanoid Robot , IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), 875--881, 2012. [DOI] [PDF] [Video]

Kober, Jens and Peters, Jan, Learning Elementary Movements Jointly with a Higher Level Task , IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), 338--343, 2011. [DOI] [PDF] [Video]

Kober, Jens and Oztop, Erhan and Peters, Jan, Reinforcement Learning to adjust Robot Movements to New Situations , International Joint Conference on Artificial Intelligence (IJCAI), Best Paper Track, 2650--2655, 2011. [DOI] [PDF]

Boularias, Abdeslam and Kober, Jens and Peters, Jan, Relative Entropy Inverse Reinforcement Learning , 14th International Conference on Artificial Intelligence and Statistics (AISTATS), 15, 182--189, 2011. [PDF] [Website]

Peters, Jan and Muelling, Katharina and Kober, Jens, Experiments with Motor Primitives to learn Table Tennis , 12th International Symposium on Experimental Robotics (ISER), 347--359, 2010. [DOI] [Video] [Website]

Muelling, Katharina and Kober, Jens and Peters, Jan, Simulating Human Table Tennis with a Biomimetic Robot Setup , From Animals to Animats 11, International Conference on the Simulation of Adaptive Behavior (SAB), 273--282, 2010. [DOI] [PDF]

Muelling, Katharina and Kober, Jens and Peters, Jan, A Biomimetic Approach to Robot Table Tennis , IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1921--1926, 2010. [DOI] [PDF] [Video]

Muelling, Katharina and Kober, Jens and Peters, Jan, Learning Table Tennis with a Mixture of Motor Primitives , 10th IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS), 411--416, 2010. [DOI] [PDF] [Video]

Kober, Jens and Oztop, Erhan and Peters, Jan, Reinforcement Learning to adjust Robot Movements to New Situations , Robotics: Science and Systems (R:SS), 2010. [DOI] [PDF] [Website]

Kober, Jens and Muelling, Katharina and Kroemer, Oliver and Lampert, Christoph H. and Scholkopf, Bernhard and Peters, Jan, Movement Templates for Learning of Hitting and Batting , IEEE International Conference on Robotics and Automation (ICRA), 69--82, 2010. [DOI] [PDF] [Video] [Code]

Peters, Jan and Kober, Jens and Muelling, Katharina and Nguyen-Tuong, Duy and Kroemer, Oliver, Towards Motor Skill Learning for Robotics , International Symposium on Robotics Research (ISRR), Invited Paper, 469--482, 2009. [DOI] [PDF]

Peters, Jan and Kober, Jens, Using Reward-Weighted Imitation for Robot Reinforcement Learning , IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), 226--232, 2009. [DOI] [PDF]

Kober, Jens and Peters, Jan, Policy Search for Motor Primitives in Robotics , Advances in Neural Information Processing Systems 21 (NIPS 2008), 849--856, 2009. [PDF] [Video] [Code] [Website]

Kober, Jens and Peters, Jan, Learning Motor Primitives for Robotics , IEEE International Conference on Robotics and Automation (ICRA), 2112--2118, 2009. [DOI] [PDF] [Video] [Code]

Kober, Jens and Peters, Jan, Learning new basic Movements for Robotics , Autonome Mobile Systeme (AMS), 105--112, 2009. [DOI] [PDF]

Gomez-Rodriguez, Manuel and Kober, Jens and Scholkopf, Bernhard, Denoising Photographs Using Dark Frames Optimized by Quadratic Programming , 1st IEEE International Conference on Computational Photography (ICCP), 1--9, 2009. [DOI] [PDF]

Chiappa, Silvia and Kober, Jens and Peters, Jan, Using Bayesian Dynamical Systems for Motion Template Libraries , Advances in Neural Information Processing Systems 21 (NIPS 2008), 297--304, 2009. [PDF] [Video] [Website]

Peters, Jan and Kober, Jens and Nguyen-Tuong, Duy, Policy Learning - A Unified Perspective with Applications in Robotics , European Workshop on Reinforcement Learning (EWRL), 220--228, 2008. [DOI] [PDF]

Kober, Jens and Mohler, Betty and Peters, Jan, Learning Perceptual Coupling for Motor Primitives , IEEE/RSJ International Conference on Intelligent Robot Systems (IROS), 834--839, 2008. [DOI] [PDF] [Video]

Kober, Jens and Peters, Jan, Reinforcement Learning of Perceptual Coupling for Motor Primitives , European Workshop on Reinforcement Learning (EWRL), 2008.

Passalis, Nikolaos and Pedrazzi, Stefania and Babuska, Robert and Burgard, Wolfram and Dias, Daniel and Ferro, Francesco and Gabbouj, Moncef and Ole, Green and Iosifidis, Alexandros and Kayacan, Erdal and Kober, Jens and Michel, Olivier and Nikolaidis, Nikolaos and Nousi, Paraskevi and Pieters, Roel S. and Tzelepi, Maria and Valada, Abhinav and Tefas, Anastasios, OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics , 2022. [PDF] [Website]

van Riet, Tom Cornelis Theodorus and de Graaf, Willem Mathys and van Antwerpen, Reinier and van Frankenhuyzen, Jan and de Lange, Jan and Kober, Jens, Robot Technology in Analyzing Tooth Removal - A Proof of Concept , 2021.

Meszaros, Anna and Franzese, Giovanni and Kober, Jens, Teaching Robots to Grasp Like Humans: An Interactive Approach , 2021. [PDF] [Video] [Website]

Mazhar, Osama and Kober, Jens, Random Shadows and Highlights: A New Data Augmentation Method for Extreme Lighting Conditions , 2021. [PDF] [Code] [Website]

Wout, Daan and Scholten, Jan and Celemin, Carlos E. and Kober, Jens, Learning Gaussian Policies from Corrective Human Feedback , 2019. [PDF] [Code] [Website]

Kober, Jens and Peters, Jan, Learning Prioritized Control of Motor Primitives , 2012. [PDF] [Website]

Kober, Jens, Encyclopedia of Systems and Control , 1--9, 2019. [DOI]

Peters, Jan and Lee, Daniel D. and Kober, Jens and Nguyen-Tuong, Duy and Bagnell, Drew and Schaal, Stefan, Springer Handbook of Robotics, 2textsuperscriptnd Edition , 357--394, 2016. [DOI] [Website]

Kober, Jens and Peters, Jan, Learning Motor Skills - From Algorithms to Robot Experiments , 97, 2014. [DOI] [Website]

Kober, Jens, Learning Motor Skills: From Algorithms to Robot Experiments , 2012. [PDF] [Website]

Kober, Jens and Peters, Jan, Reinforcement Learning - State-of-the-Art , 12, 579--610, 2012. [DOI] [Website]

Kober, Jens and Mohler, Betty and Peters, Jan, From Motor Learning to Interaction Learning in Robots , 264, 209--225, 2010. [DOI] [PDF] [Video]

Kober, Jens, Reinforcement Learning for Motor Primitives , 2008. [PDF] [Video] [Code]