Jan Peters' Curriculum Vitae

Research Statement

Autonomous robots that can assist humans in situations of daily life have been a long standing vision of robotics, artificial intelligence, and cognitive sciences. A first step towards this goal is to create robots that can learn a multitude of different tasks, triggered by environmental context or higher level instruction. Achieving this goal requires the development of novel machine learning methods for model-, imitation and reinforcement learning that scale into the domain of humanoid robotics. In order to achieve this goal, we also rely both on the proper evaluation of robot skill execution from a traditional control perspective as well as on insights into analytical mechanics and human motor control.

Current Positions'

  1. Full Professor (W3), Head of the Intelligent Autonomous Systems Institute, Computer Science Department, Technische Universitaet Darmstadt, Germany
  2. Senior Research Scientist, Head of the Interdepartmental Robot Learning Group, Dept. Empirical Inference & Dept. Humanoid Robotics, Max Planck Institute for Intelligent Systems, Tuebingen, Germany
  3. Invited Researcher, Computational Learning and Motor Control Lab, Computer Science Department, University of Southern California

Curriculum Vitae

Educational Background
2001-2007Ph.D. in Computer Science
 University of Southern California, Los Angeles, CA, USA
 Thesis Title: Machine Learning for Motor Skills in Robotics
 Defended on March 21, 2007
 Thesis Committee: Stefan Schaal, Gaurav Sukhatme, Firdaus Udwadia, Chris Atkeson (CMU)
2004-2005M.Sc. in Aerospace & Mechanical Engineering (Dynamics & Control)
 University of Southern California, Los Angeles, CA, USA
2001-2002M.Sc. in Computer Science
 University of Southern California, Los Angeles, CA, USA
1996-2002Diplom-Ingenieur (German M.Eng. in Electrical Engineering)
 Munich University of Technology, Munich, Germany
2000-2001Visiting graduate student
 National University of Singapore, Singapore
1996-2000Diplom-Informatiker (German M.Sc. in Computer Science)
 Hagen University, Hagen, Germany
 Thesis Title: Neural Networks in Robot Control
 Thesis Committee: Patrick van der Smagt (DLR), Gerd Hirzinger (DLR), Christoph Beierle (U.Hagen)
 
Research Positions
2011-nowFull Professor (W3), Intelligent Autonomous Systems Institute
 Computer Science Department, Technische Universitaet Darmstadt, Germany
2011-nowSenior Research Scientist, Head of the Robot Learning Group
 Dept. Empirical Inference (Dept.Head: Bernhard Schoelkopf), Max Planck Institute for Intelligent Systems, Tuebingen, Germany
2009-2011Senior Research Scientist, Head of the Robot Learning Group
 Dept. Empirical Inference (Dept.Head: Bernhard Schoelkopf), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
2007-2009Research Scientist, Head of the Robot Learning Group
 Dept. Empirical Inference (Dept.Head: Bernhard Schoelkopf), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
2007-nowAdjunct Researcher
 Computational Learning and Motor Control Lab (Head: Stefan Schaal), University of Southern California, Los Angeles, CA, USA
2001-2007Research Assistant
 Computational Learning and Motor Control Lab (Head: Stefan Schaal), University of Southern California, Los Angeles, CA, USA
2003Visiting Researcher
 Department of Humanoid Robotics (Head: Gordon Cheng), Advanced Telecommunication Research Center ATR, Kyoto
2001Visiting Researcher
 National University of Singapore, Singapore
2000Visiting Researcher
 Cyberhuman Project (Head: Mitsuo Kawato), Advanced Telecommunication Research Center ATR, Kyoto, Japan
2000Student Researcher
 Institute of Automatic Control Engineering, Munich University of Technology, Munich, Germany
1998-2000Student Researcher
 Institute of Robotics and Mechatronics of the German Aerospace Research Institute DLR, Oberpfaffenhofen, Germany
 
Books & Theses
Peters, J.; Lee, D.; Kober, J.; Nguyen-Tuong, D.; Bagnell, J.; Schaal, S. (2017). Chapter 15: Robot Learning, Springer Handbook of Robotics, 2nd Edition, pp.357-394, Springer International Publishing.   See Details [Details]   BibTeX Reference [BibTex]

Peters, J.; Tedrake, R.; Roy, N.; Morimoto, J. (2016). Robot Learning, Encyclopedia of Machine Learning, 2nd Edition, Invited Article.   See Details [Details]   BibTeX Reference [BibTex]

Peters, J.; Bagnell, J.A. (2016). Policy gradient methods, Encyclopedia of Machine Learning, 2nd Edition, Invited Article.   See Details [Details]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2014). Learning Motor Skills - From Algorithms to Robot Experiments, Springer Tracts in Advanced Robotics 97 (STAR Series), Springer .   See Details [Details]   BibTeX Reference [BibTex]

Sigaud, O.; Peters, J. (2012). Robot Learning, Encyclopedia of the Sciences of Learning, Springer Verlag, Seel, Norbert M..   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth M. P.; Szepesvari C.; Peters J. (2012)., in: Deisenroth M. P.; Szepesvari C., Peters J. (eds.), Proceedings of the 10th European Workshop on Reinforcement Learning, 24.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Seeger, M.; Peters, J. (2010). Real-Time Local GP Model Learning, From Motor Learning to Interaction Learning in Robots, Springer Verlag, 264.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Tedrake, R.; Roy, N.; Morimoto, J. (2010). Robot Learning, Encyclopedia of Machine Learning.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Sigaud, O.; Peters, J. (2010). From Motor Learning to Interaction Learning in Robots, Studies in Computational Intelligence, Springer Verlag, 264.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Mohler, B.; Peters, J. (2010). Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling, From Motor Learning to Interaction Learning in Robots, Springer Verlag.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Bagnell, J.A. (2010). Policy gradient methods, Encyclopedia of Machine Learning (invited article).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Detry, R.; Baseski, E.; Popovic, M.; Touati, Y.; Krueger, N.; Kroemer, O.; Peters, J.; Piater, J. (2010). Learning Continuous Grasp Affordances by Sensorimotor Exploration, From Motor Learning to Interaction Learning in Robots, Springer Verlag, 264.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lesperance, Y.; Lakemeyer, G.; Peters, J.; Pirri, F. (2008). Proceedings of the 6th International Cognitive Robotics Workshop (CogRob 2008), July 21-22, 2008, Patras, Greece, ISBN 978-960-6843-09-9.   See Details [Details]   BibTeX Reference [BibTex]

Peters, J. (2008). Machine Learning for Robotics, VDM-Verlag, ISBN 978-3-639-02110-3.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J. (2007). Machine Learning of Motor Skills for Robotics, Ph.D. Thesis, Department of Computer Science, University of Southern California.   See Details [Details]   BibTeX Reference [BibTex]
 
Journal Papers
Padois, V.; Ivaldib, S.; Babič, J.; Mistry, M.; Peters, J.; Nori, F. (in press). Whole-body multi-contact motion in humans and humanoids, Robotics and Autonomous Systems.   See Details [Details]   BibTeX Reference [BibTex]

Wang, Z.; Boularias, A.; Muelling, K.; Schoelkopf, B.; Peters, J. (accepted). Anticipatory Action Selection for Human-Robot Table Tennis, Artificial Intelligence.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, L.; Kroemer, O.; Peters, J. (accepted). Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks, Autonomous Robots (AURO).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Parisi, S.; Pirotta, M.; Peters, J. (accepted). Manifold-based Multi-objective Policy Search with Sample Reuse, Neurocomputing.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Ewerton, M.; Neumann, G.; Lioutikov, R.; Peters, J. (accepted). Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration, International Journal of Robotics Research (IJRR).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R.; Neumann, G.; Maeda, G.; Peters, J. (accepted). Learning Movement Primitive Libraries through Probabilistic Segmentation, International Journal of Robotics Research (IJRR).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ivaldi, S.; Lefort, S.; Peters, J.; Chetouani, M.; Provasi, J.; Zibetti, E. (2017). Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task, International Journal of Social Robotics, 9, pp.63-86.   See Details [Details]   BibTeX Reference [BibTex]

Yi, Z.; Zhang, Y.; Peters, J. (2017). Bioinspired Tactile Sensor for Surface Roughness Discrimination, Sensors and Actuators A: Physical, 255, pp.46-53.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Osa, T.; Ghalamzan, E. A. M.; Stolkin, R.; Lioutikov, R.; Peters, J.; Neumann, G. (2017). Guiding Trajectory Optimization by Demonstrated Distributions, IEEE Robotics and Automation Letters (RA-L), 2, 2, pp.819-826, IEEE.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2017). A Comparison of Autoregressive Hidden Markov Models for Multi-Modal Manipulations with Variable Masses, IEEE Robotics and Automation Letters (RA-L).   See Details [Details]   BibTeX Reference [BibTex]

Rueckert, E.; Kappel, D.; Tanneberg, D.; Pecevski, D; Peters, J. (2016). Recurrent Spiking Networks Solve Planning Tasks, Nature PG: Scientific Reports, 6, 21142, Nature Publishing Group.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Ewerton, M.; Koert, D; Peters, J. (2016). Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills, IEEE Robotics and Automation Letters (RA-L), 1, 2, pp.784--791.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; Neumann, G.; Kroemer, O.; Peters, J. (2016). Hierarchical Relative Entropy Policy Search, Journal of Machine Learning Research (JMLR), 17, pp.1-50.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Veiga, F.F.; Peters, J. (2016). Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws?, arXiv.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Abdolmaleki, A.; Lau, N.; Reis, L.; Peters, J.; Neumann, G. (2016). Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller, Journal of Intelligent & Robotic Systems.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; van Hoof, H.; Peters, J.; Neumann, G. (2016). Probabilistic Inference for Determining Options in Reinforcement Learning, Machine Learning (ML), 104, 2-3, pp.337-357.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Yi, Z.; Zhang, Y.; Peters, J. (2016). Surface Roughness Discrimination Using Bioinspired Tactile Sensors, Proceedings of the 16th International Conference on Biomedical Engineering.   See Details [Details]   BibTeX Reference [BibTex]

Calandra, R.; Seyfarth, A.; Peters, J.; Deisenroth, M. (2015). Bayesian Optimization for Learning Gaits under Uncertainty, Annals of Mathematics and Artificial Intelligence (AMAI).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kupcsik, A.G.; Deisenroth, M.P.; Peters, J.; Ai Poh, L.; Vadakkepat, V.; Neumann, G. (2015). Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills, Artificial Intelligence.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mariti, C.; Muscolo, G.G.; Peters, J.; Puig, D.; Recchiuto, C.T.; Sighieri, C.; Solanas, A.; von Stryk, O. (2015). Developing biorobotics for veterinary research into cat movements, Journal of Veterinary Behavior: Clinical Applications and Research, 10, pp.248-254.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; Kroemer, O.; Viering, M.; Metz, J.; Peters, J. (2015). Active Reward Learning with a Novel Acquisition Function, Autonomous Robots, 39, pp.389-405 .   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S.; Kober, J.; Gienger, M.; Peters, J. (2015). Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations, Robotics and Autonomous Systems, 74, pp.97-107.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R.; Paraschos, A.; Peters, J.; Neumann, G. (2014). Generalizing Movements with Information Theoretic Stochastic Optimal Control, Journal of Aerospace Information Systems, 11, 9, pp.579-595.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Neumann, G.; Daniel, C.; Paraschos, A.; Kupcsik, A.; Peters, J. (2014). Learning Modular Policies for Robotics, Frontiers in Computational Neuroscience.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C.; Neumann, G.; Peters, J. (2014). Policy Evaluation with Temporal Differences: A Survey and Comparison, Journal of Machine Learning Research, 15, March, pp.809-883.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Meyer, T.; Peters, J.; Zander, T.O.; Schoelkopf, B.; Grosse-Wentrup, M. (2014). Predicting Motor Learning Performance from Electroencephalographic Data, Journal of Neuroengineering and Rehabilitation, 11, 1.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Bocsi, B.; Csato, L.; Peters, J. (2014). Indirect Robot Model Learning for Tracking Control, Advanced Robotics.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ben Amor, H.; Saxena, A.; Hudson, N.; Peters, J. (2014). Special issue on autonomous grasping and manipulation, Autonomous Robots.   See Details [Details]   BibTeX Reference [BibTex]

Wierstra. D.; Schaul, T.; Glasmachers, T.; Sun, Y.; Peters, J.; Schmidhuber, J. (2014). Natural Evolution Strategies, Journal of Machine Learning Research, 15, March, pp.949-980.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Boularias, A.; Schoelkopf, B.; Peters, J. (2014). Learning Strategies in Table Tennis using Inverse Reinforcement Learning, Biological Cybernetics, 108, 5, pp.603-619.   See Details [Details]   BibTeX Reference [BibTex]

van Hoof, H.; Kroemer, O; Peters, J. (2014). Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments, IEEE Transactions on Robotics (TRo), 30, 5, pp.1198-1209.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Kober, J.; Kroemer, O.; Peters, J. (2013). Learning to Select and Generalize Striking Movements in Robot Table Tennis, International Journal of Robotics Research, 32, 3, pp.263-279.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wang, Z.; Muelling, K.; Deisenroth, M. P.; Ben Amor, H.; Vogt, D.; Schoelkopf, B.; Peters, J. (2013). Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction, International Journal of Robotics Research, 32, 7, pp.841-858.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J; Bagnell, D.; Peters, J. (2013). Reinforcement Learning in Robotics: A Survey, International Journal of Robotics Research, 32, 11, pp.1238-1274.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P.; Paraschos, A.; Peters, J.;Deisenroth, M.P. (2013). Probabilistic Model-based Imitation Learning, Adaptive Behavior Journal, 21, pp.388-403.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth, M. P.; Neumann, G.; Peters, J. (2013). A Survey on Policy Search for Robotics, Foundations and Trends in Robotics, 21, pp.388-403.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lampert, C.H.; Peters, J. (2012). Real-Time Detection of Colored Objects In Multiple Camera Streams With Off-the-Shelf Hardware Components, Journal of Real-Time Image Processing, 7, 1, pp.31-41.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Wilhelm, A.; Oztop, E.; Peters, J. (2012). Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations, Autonomous Robots, 33, 4, pp.361-379, Springer US.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2012). Online Kernel-based Learning for Task-Space Tracking Robot Control, IEEE Transactions on Neural Networks and Learning Systems, 23, 9, pp.1417-1425 .   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Piater, J.; Jodogne, S.; Detry, R.; Kraft, D.; Krueger, N.; Kroemer, O.; Peters, J. (2011). Learning Visual Representations for Perception-Action Systems, International Journal of Robotics Research, 30, 3, pp.294-307.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Detry, R.; Kraft, D.; Kroemer, O.; Peters, J.; Krueger, N.; Piater, J.; (2011). Learning Grasp Affordance Densities, Paladyn Journal of Behavioral Robotics, 2, 1, pp.1-17.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2011). Policy Search for Motor Primitives in Robotics, Machine Learning, 84, 1-2, pp.171-203.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2011). Incremental Sparsification for Real-time Online Model Learning, Neurocomputing, 74, 11, pp.1859-1867.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez-Rodriguez, M.; Peters, J.; Hill, J.; Schoelkopf, B.; Gharabaghi, A.; Grosse-Wentrup, M. (2011). Closing the Sensorimotor Loop: Haptic Feedback Helps Decoding of Motor Imagery, Journal of Neuroengineering, 8, 3.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Lampert, C.H.; Peters, J. (2011). Learning Dynamic Tactile Sensing with Robust Vision-based Training, IEEE Transactions on Robotics (T-Ro), 27, 3, pp.545-557.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Kober, J.; Peters, J. (2011). A Biomimetic Approach to Robot Table Tennis, Adaptive Behavior Journal, 19, 5.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hachiya, H.; Peters, J.; Sugiyama, M. (2011). Reward Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning, Neural Computation, 23, 11.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2011). Model Learning in Robotics: a Survey, Cognitive Processing, 12, 4.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wierstra, D.; Foerster, A.; Peters, J.; Schmidhuber, J. (2010). Recurrent Policy Gradients, Logic Journal of the IGPL, 18, pp.620-634.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2010). Imitation and Reinforcement Learning - Practical Algorithms for Motor Primitive Learning in Robotics, IEEE Robotics and Automation Magazine, 17, 2, pp.55-62.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Detry, R.; Piater, J.; Peters, J. (2010). Combining Active Learning and Reactive Control for Robot Grasping, Robotics and Autonomous Systems, 58, 9, pp.1105-1116.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Sehnke, F.; Osendorfer, C.; Rueckstiess, T.; Graves, A.; Peters, J.; Schmidhuber, J. (2010). Parameter-exploring Policy Gradients, Neural Networks, 23.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Morimura, T.; Uchibe, E.; Yoshimoto, J.; Peters, J.; Doya, K. (2010). Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning, Neural Computation, 22, 2.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Kober, J.;Schaal, S. (2010). Policy learning algorithmis for motor learning (Algorithmen zum automatischen Erlernen von Motorfaehigkigkeiten), Automatisierungstechnik, 58, 12, pp.688-694.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hachiya,H.; Akiyama, T.; Sugiyama, M.; Peters, J. (2009). Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning, Neural Networks, 22, 10, pp.1399-1410.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth, M.P.; Rasmussen, C.E.; Peters, J. (2009). Gaussian Process Dynamic Programming, Neurocomputing, 72, pp.1508-1524.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Ng, A. (2009). Guest Editorial: Special Issue on Robot Learning, Part B, Autonomous Robots, 27, 2.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Seeger, M.; Peters, J. (2009). Model Learning with Local Gaussian Process Regression, Advanced Robotics, 23, 15, pp.2015-2034.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2009). Reinforcement Learning fuer Motor-Primitive, Kuenstliche Intelligenz.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Morimoto, J.; Tedrake, R.; Roy, N. (2009). Robot Learning, IEEE Robotics & Automation Magazine, 16, 3, pp.19-20.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Ng, A. (2009). Guest Editorial: Special Issue on Robot Learning, Part A, Autonomous Robots, 27, 1.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Steinke, F.; Hein, M.; Peters, J.; Schoelkopf, B (2008). Manifold-valued Thin-Plate Splines with Applications in Computer Graphics, Computer Graphics Forum (Special Issue on Eurographics 2008), 27, 2.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nakanishi, J.;Cory, R.;Mistry, M.;Peters, J.;Schaal, S. (2008). Operational space control: A theoretical and empirical comparison, International Journal of Robotics Research, 27, 6, pp.737-757.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J. (2008). Machine Learning for Motor Skills in Robotics, Kuenstliche Intelligenz, 3.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S. (2008). Natural actor critic, Neurocomputing, 71, 7-9, pp.1180-1190.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S. (2008). Learning to control in operational space, International Journal of Robotics Research, 27, pp.197-212.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S. (2008). Reinforcement learning of motor skills with policy gradients, Neural Networks, 21, 4, pp.682-97.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Mistry, M.;Udwadia, F. E.;Nakanishi, J.;Schaal, S. (2008). A unifying framework for robot control with redundant DOFs, Autonomous Robots, 24, 1, pp.1-12.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J. (2007). Computational Intelligence: By Amit Konar, The Computer Journal, 50, 6, pp.758.   See Details [Details]   BibTeX Reference [BibTex]

Nakanishi, J.; Mistry, M.; Peters, J.; Schaal, S. (2007). Experimental evaluation of task space position/orientation control towards compliant control for humanoid robots, IEEE International Conference on Intelligent Robotics Systems (IROS 2007).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J. (1998). Fuzzy Logic for Practical Applications, Kuenstliche Intelligenz (KI), 4, pp.60.   See Details [Details]   BibTeX Reference [BibTex]
 
Conference and Workshop Papers
Tangkaratt, V.; van Hoof, H.; Parisi, S.; Neumann, G.; Peters, J.; Sugiyama, M. (2017). Policy Search with High-Dimensional Context Variables, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Farraj, F. B.; Osa, T.; Pedemonte, N.; Peters, J.; Neumann, G.; Giordano, P.R. (2017). A Learning-based Shared Control Architecture for Interactive Task Execution, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wilbers, D.; Lioutikov, R.; Peters, J. (2017). Context-Driven Movement Primitive Adaptation, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

End, F.; Akrour, R.; Peters, J.; Neumann, G. (2017). Layered Direct Policy Search for Learning Hierarchical Skills, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gabriel, A.; Akrour, R.; Peters, J.; Neumann, G. (2017). Empowered Skills, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Arenz, O.; Peters, J.; Neumann, G. (2017). State-Regularized Policy Search for Linearized Dynamical Systems, Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Fiebig, K.H.; Jayaram, V.; Hesse, T.; Blank, A.; Peters, J.; Grosse-Wentrup, M. (2017). Bayesian Regression for Artifact Correction in Electroencephalography, Proceedings of the 7th Graz Brain-Computer Interface Conference.   See Details [Details]   BibTeX Reference [BibTex]

Osa, T.; Peters, J.; Neumann, G. (2016). Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies, Proceedings of the International Symposium on Experimental Robotics (ISER).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kohlschuetter, J.; Peters, J.; Rueckert, E. (2016). Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities, Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Modugno, V.; Neumann, G.; Rueckert, E.; Oriolo, G.; Peters, J.; Ivaldi, S. (2016). Learning soft task priorities for control of redundant robots, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   BibTeX Reference [BibTex]

Buechler, D.; Ott, H.; Peters, J. (2016). A Lightweight Robotic Arm with Pneumatic Muscles for Robot Learning, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   BibTeX Reference [BibTex]

Ewerton, M.; Maeda, G.; Neumann, G.; Kisner, V.; Kollegger, G.; Wiemeyer, J.; Peters, J. (2016). Movement Primitives with Multiple Phase Parameters, Proceedings of the International Conference on Robotics and Automation (ICRA), pp.201--206.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Vinogradska, J.; Bischoff, B.; Nguyen-Tuong, D.; Romer, A.; Schmidt, H.; Peters, J. (2016). Stability of Controllers for Gaussian Process Forward Models, Proceedings of the International Conference on Machine Learning (ICML).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Calandra, R.; Peters, J.; Rasmussen, C.E.; Deisenroth, M.P. (2016). Manifold Gaussian Processes for Regression, Proceedings of the International Joint Conference on Neural Networks (IJCNN).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Weber, P.; Rueckert, E.; Calandra, R.; Peters, J.; Beckerle, P. (2016). A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction, Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S.; Gienger, M.; Kober, J.; Peters, J. (2016). Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   BibTeX Reference [BibTex]

van Hoof, H.; Chen, N.; Karl, M.; van der Smagt, P.; Peters, J. (2016). Stable Reinforcement Learning with Autoencoders for Tactile and Visual Data, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Yi, Z.; Calandra, R.; Veiga, F.; van Hoof, H.; Hermans, T.; Zhang, Y.; Peters, J. (2016). Active Tactile Object Exploration with Gaussian Processes, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koc, O.; Peters, J.; Maeda, G. (2016). A New Trajectory Generation Framework in Robotic Table Tennis, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   BibTeX Reference [BibTex]

Belousov, B.; Neumann, G.; Rothkopf, C.; Peters, J. (2016). Catching heuristics are optimal control policies, Advances in Neural Information Processing Systems (NIPS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Tanneberg, D.; Paraschos, A.; Peters, J.; Rueckert, E. (2016). Deep Spiking Networks for Model-based Planning in Humanoids, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Huang, Y.; Buechler, D.; Koc, O.; Schoelkopf, B.; Peters, J. (2016). Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   BibTeX Reference [BibTex]

Koert, D.; Maeda, G.J.; Lioutikov, R.; Neumann, G.; Peters, J. (2016). Demonstration Based Trajectory Optimization for Generalizable Robot Motions, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez-Gonzalez, S.; Neumann, G.; Schoelkopf, B.; Peters, J. (2016). Using Probabilistic Movement Primitives for Striking Movements, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   BibTeX Reference [BibTex]

Ewerton, M.; Maeda, G.J.; Kollegger, G.; Wiemeyer, J.; Peters, J. (2016). Incremental Imitation Learning of Context-Dependent Motor Skills, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Parisi, S; Blank, A; Viernickel T; Peters, J (2016). Local-utopia Policy Selection for Multi-objective Reinforcement Learning, Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Fiebig, K.-H.; Jayaram, V.; Peters, J.; Grosse-Wentrup, M. (2016). Multi-Task Logistic Regression in Brain-Computer Interfaces, IEEE SMC 2016 — 6th Workshop on Brain-Machine Interface Systems.   See Details [Details]   BibTeX Reference [BibTex]

van Hoof, H.; Peters, J.; Neumann, G. (2015). Learning of Non-Parametric Control Policies with High-Dimensional State Features, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Calandra, R.; Ivaldi, S.; Deisenroth, M.;Rueckert, E.; Peters, J. (2015). Learning Inverse Dynamics Models with Contacts, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Daniel, C.; Neumann, G; van Hoof, H.; Peters, J. (2015). Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Rueckert, E.; Mundo, J.; Paraschos, A.; Peters, J.; Neumann, G. (2015). Extracting Low-Dimensional Control Variables for Movement Primitives, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M.; Neumann, G.; Lioutikov, R.; Ben Amor, H.; Peters, J.; Maeda, G. (2015). Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives, Proceedings of the International Conference on Robotics and Automation (ICRA), pp.1535--1542.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lopes, M.; Peters, J.; Piater, J.; Toussaint, M.; Baisero, A.; Busch, B.; Erkent, O.; Kroemer, O.; Lioutikov, R.; Maeda, G.; Mollard, Y.; Munzer, T.; Shukla, D. (2015). Semi-Autonomous 3rd-Hand Robot, Workshop on Cognitive Robotics in Future Manufacturing Scenarios, European Robotics Forum, Vienna, Austria.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Paraschos, A.; Rueckert, E.; Peters, J; Neumann, G. (2015). Model-Free Probabilistic Movement Primitives for Physical Interaction, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Rueckert, E.; Lioutikov, R.; Calandra, R.; Schmidt, M.; Beckerle, P.; Peters, J. (2015). Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations, ICRA 2015 Workshop on Tactile and force sensing for autonomous compliant intelligent robots.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M.; Neumann, G.; Lioutikov, R.; Ben Amor, H.; Peters, J.; Maeda, G. (2015). Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives, Workshop on Machine Learning for Social Robotics, ICRA.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Parisi, S.; Abdulsamad, H.; Paraschos, A.; Daniel, C.; Peters, J. (2015). Reinforcement Learning vs Human Programming in Tetherball Robot Games, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Veiga, F.F.; van Hoof, H.; Peters, J.; Hermans, T. (2015). Stabilizing Novel Objects by Learning to Predict Tactile Slip, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Huang, Y.; Schoelkopf, B.; Peters, J. (2015). Learning Optimal Striking Points for A Ping-Pong Playing Robot, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S.; Kober, J.; Gienger, M.; Peters, J. (2015). Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M.; Maeda, G.J.; Peters, J.; Neumann, G. (2015). Learning Motor Skills from Partially Observed Movements Executed at Different Speeds, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), pp.456--463.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wahrburg, A.; Zeiss, S.; Matthias, B.; Peters, J.; Ding, H. (2015). Combined Pose-Wrench and State Machine Representation for Modeling Robotic Assembly Skills, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Fritsche, L.; Unverzagt, F.; Peters, J.; Calandra, R. (2015). First-Person Tele-Operation of a Humanoid Robot, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Calandra, R.; Ivaldi, S.; Deisenroth, M.; Peters, J. (2015). Learning Torque Control in Presence of Contacts using Tactile Sensing from Robot Skin, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, R.; Peters, J. (2015). A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation, Proceedings of the International Symposium of Robotics Research (ISRR).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koc, O.; Maeda, G.; Neumann, G.; Peters, J. (2015). Optimizing Robot Striking Movement Primitives with Iterative Learning Control, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   BibTeX Reference [BibTex]

Hoelscher, J.; Peters, J.; Hermans, T. (2015). Evaluation of Interactive Object Recognition with Tactile Sensing, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

van Hoof, H.; Hermans, T.; Neumann, G.; Peters, J. (2015). Learning Robot In-Hand Manipulation with Tactile Features, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Leischnig, S.; Luettgen, S.; Kroemer, O.; Peters, J. (2015). A Comparison of Contact Distribution Representations for Learning to Predict Object Interactions, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Abdolmaleki, A.; Lioutikov, R.; Peters, J; Lau, N.; Reis, L.; Neumann, G. (2015). Model-Based Relative Entropy Stochastic Search, Advances in Neural Information Processing Systems (NIPS), MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C.; Neumann, G.; Peters, J. (2015). Policy Evaluation with Temporal Differences: A Survey and Comparison, Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling (ICAPS), pp.359-360.   See Details [Details]   BibTeX Reference [BibTex]

Nori, F.; Peters, J.; Padois, V.; Babic, J.; Mistry, M.; Ivaldi, S. (2014). Whole-body motion in humans and humanoids, Proceedings of the Workshop on New Research Frontiers for Intelligent Autonomous Systems (NRF-IAS), pp.81-92.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth, M.P.; Englert, P.; Peters, J.; Fox, D. (2014). Multi-Task Policy Search for Robotics, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Bischoff, B.; Nguyen-Tuong, D.; van Hoof, H. McHutchon, A.; Rasmussen, C.E.; Knoll, A.; Peters, J.; Deisenroth, M.P. (2014). Policy Search For Learning Robot Control Using Sparse Data, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Calandra, R.; Seyfarth, A.; Peters, J.; Deisenroth, M.P. (2014). An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; van Hoof, H.; Neumann, G.; Peters, J. (2014). Learning to Predict Phases of Manipulation Tasks as Hidden States, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ben Amor, H.; Neumann, G.; Kamthe, S.; Kroemer, O.; Peters, J. (2014). Interaction Primitives for Human-Robot Cooperation Tasks , Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Calandra, R.; Gopalan, N.; Seyfarth, A.; Peters, J.; Deisenroth, M.P. (2014). Bayesian Gait Optimization for Bipedal Locomotion, Proceedings of the 2014 Learning and Intelligent Optimization Conference (LION8).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kamthe, S.; Peters, J.; Deisenroth, M. (2014). Multi-modal filtering for non-linear estimation, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S.; Kober, J.; Gienger, M.; Peters, J. (2014). Learning to Unscrew a Light Bulb from Demonstrations, Proceedings of ISR/ROBOTIK 2014.   See Details [Details]   BibTeX Reference [BibTex]

Lioutikov, R.; Kroemer, O.; Peters, J.; Maeda, G. (2014). Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot, Proceedings of the 13th International Conference on Intelligent Autonomous Systems (IAS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; Viering, M.; Metz, J.; Kroemer, O.; Peters, J. (2014). Active Reward Learning, Proceedings of Robotics: Science & Systems (R:SS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2014). Predicting Object Interactions from Contact Distributions, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chebotar, Y.; Kroemer, O.; Peters, J. (2014). Learning Robot Tactile Sensing for Object Manipulation, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S.; Kober, J.; Gienger, M.; Peters, J. (2014). Learning to Sequence Movement Primitives from Demonstrations, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Luck, K.S.; Neumann, G.; Berger, E.; Peters, J.; Ben Amor, H. (2014). Latent Space Policy Search for Robotics, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez, V.; Kappen, B; Peters, J.; Neumann, G (2014). Policy Search for Path Integral Control, Proceedings of the European Conference on Machine Learning (ECML).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.J.; Ewerton, M.; Lioutikov, R.; Amor, H.B.; Peters, J.; Neumann, G. (2014). Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp.527--534.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Brandl, S.; Kroemer, O.; Peters, J. (2014). Generalizing Pouring Actions Between Objects using Warped Parameters, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Colome, A.; Neumann, G.; Peters, J.; Torras, C. (2014). Dimensionality Reduction for Probabilistic Movement Primitives, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Rueckert, E.; Mindt, M.; Peters, J.; Neumann, G. (2014). Robust Policy Updates for Stochastic Optimal Control, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ivaldi, S.; Peters, J.; Padois, V.; Nori, F. (2014). Tools for simulating humanoid robot dynamics: a survey based on user feedback, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hermans, T.; Veiga, F.; Hölscher, J.; van Hoof, H.; Peters, J. (2014). Demonstration: Learning for Tactile Manipulation, Advances in Neural Information Processing Systems (NIPS), Demonstration Track., MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; Neumann, G.; Kroemer, O.; Peters, J. (2013). Learning Sequential Motor Tasks, Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P.; Paraschos, A.; Peters, J.; Deisenroth, M. P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching, Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gopalan, N.; Deisenroth, M. P.; Peters, J. (2013). Feedback Error Learning for Rhythmic Motor Primitives, Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Kober, J.; Muelling, K.; Kroemer, O.; Neumann, G. (2013). Towards Robot Skill Learning: From Simple Skills to Table Tennis, Proceedings of the European Conference on Machine Learning (ECML), Nectar Track.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kupcsik, A.G.; Deisenroth, M.P.; Peters, J.; Neumann, G. (2013). Data-Efficient Generalization of Robot Skills with Contextual Policy Search, Proceedings of the National Conference on Artificial Intelligence (AAAI) .   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Bocsi, B.; Csato, L.; Peters, J. (2013). Alignment-based Transfer Learning for Robot Models, Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN) .   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; Neumann, G.; Peters, J. (2013). Autonomous Reinforcement Learning with Hierarchical REPS, Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN) .   See Details [Details]   BibTeX Reference [BibTex]

Peters, J.; Kober, J.; Muelling, K.; Nguyen-Tuong, D.; Kroemer, O. (2013). Learning Skills with Motor Primitives, Proceedings of the 16th Yale Learning Workshop.   See Details [Details]   BibTeX Reference [BibTex]

Neumann, G.; Kupcsik, A.G.; Deisenroth, M.P.; Peters, J. (2013). Information-Theoretic Motor Skill Learning, Proceedings of the AAAI 2013 Workshop on Intelligent Robotic Systems.   See Details [Details]   BibTeX Reference [BibTex]

Ben Amor, H.; Vogt, D.; Ewerton, M.; Berger, E.; Jung, B.; Peters, J. (2013). Learning Responsive Robot Behavior by Imitation, Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

van Hoof, H.; Kroemer, O; Peters, J. (2013). Probabilistic Interactive Segmentation for Anthropomorphic Robots in Cluttered Environments , Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Paraschos, A.; Neumann, G; Peters, J. (2013). A Probabilistic Approach to Robot Trajectory Generation, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Paraschos, A.; Daniel, C.; Peters, J.; Neumann, G (2013). Probabilistic Movement Primitives, Advances in Neural Information Processing Systems (NIPS), MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; Neumann, G.; Peters, J. (2012). Hierarchical Relative Entropy Policy Search, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS 2012).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Ugur, E.; Oztop, E. ; Peters, J. (2012). A Kernel-based Approach to Direct Action Perception, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Bocsi, B.; Hennig, P.; Csato, L.; Peters, J. (2012). Learning Tracking Control with Forward Models, Proceedings of the International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wang, Z.;Deisenroth, M; Ben Amor, H.; Vogt, D.; Schoelkopf, B.; Peters, J. (2012). Probabilistic Modeling of Human Movements for Intention Inference, Proceedings of Robotics: Science and Systems (R:SS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Kober, J.; Muelling, K.; Nguyen-Tuong, D.; Kroemer, O. (2012). Robot Skill Learning, Proceedings of the European Conference on Artificial Intelligence (ECAI).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Boularias, A.; Kroemer, O.; Peters, J. (2012). Structured Apprenticeship Learning, Proceedings of the European Conference on Machine Learning (ECML).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Meyer, T.; Peters, J.;Broetz, D.; Zander, T.; Schoelkopf, B.; Soekadar, S.; Grosse-Wentrup, M. (2012). A Brain-Robot Interface for Studying Motor Learning after Stroke, Proceedings of the International Conference on Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth, M.P.; Calandra, R.; Seyfarth, A.; Peters, J. (2012). Toward Fast Policy Search for Learning Legged Locomotion, Proceedings of the International Conference on Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

van Hoof, H.; Kroemer, O.;Ben Amor, H.; Peters, J. (2012). Maximally Informative Interaction Learning for Scene Exploration, Proceedings of the International Conference on Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C.; Neumann, G.; Peters, J. (2012). Learning Concurrent Motor Skills in Versatile Solution Spaces, Proceedings of the International Conference on Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ben Amor, H.; Kroemer, O.; Hillenbrand, U.; Neumann, G.; Peters, J. (2012). Generalization of Human Grasping for Multi-Fingered Robot Hands, Proceedings of the International Conference on Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J; Muelling, K.; Peters, J. (2012). Learning Throwing and Catching Skills, Proceedings of the International Conference on Robot Systems (IROS), Video Track.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth, M.P.; Peters, J. (2012). Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise, Proceedings of the European Workshop on Reinforcement Learning (EWRL).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Kober, J.; Kroemer, O.; Peters, J. (2012). Learning to Select and Generalize Striking Movements in Robot Table Tennis, Proceedings of the AAAI 2012 Fall Symposium on Robots that Learn Interactively from Human Teachers.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Meyer, T.; Peters, J.; Broetz, D.; Zander, T.; Schoelkopf, B.; Soekadar, S.; Grosse-Wentrup, M. (2012). Investigating the Neural Basis for Stroke Rehabilitation by Brain-Computer Interfaces, International Conference on Neurorehabilitation.   See Details [Details]   BibTeX Reference [BibTex]

Kroemer, O.; Ben Amor, H.; Ewerton, M.; Peters, J. (2012). Point Cloud Completion Using Extrusions, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Boularias, A.; Kroemer, O.; Peters, J. (2012). Algorithms for Learning Markov Field Policies, Advances in Neural Information Processing Systems 26 (NIPS 2012), MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lampariello, R.; Nguyen-Tuong, D.; Castellini, C.; Hirzinger, G.; Peters, J. (2011). Energy-optimal robot catching in real-time, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2011). A Flexible Hybrid Framework for Modeling Complex Manipulation Tasks, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2011). Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning, Proceedings of the 2011 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Boularias, A.; Kroemer, O.; Peters, J. (2011). Learning Robot Grasping from 3D Images with Markov Random Fields, IEEE/RSJ International Conference on Intelligent Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2011). A Non-Parametric Approach to Dynamic Programming, Advances in Neural Information Processing Systems 25 (NIPS 2011), MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Bocsi, B.; Nguyen-Tuong, D; Csato, L; Schoelkopf, B.; Peters, J. (2011). Learning Inverse Kinematics with Structured Prediction, IEEE/RSJ International Conference on Intelligent Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wang, Z.; Lampert, C; Muelling, K; Schoelkopf, B.; Peters, J. (2011). Learning Anticipation Policies for Robot Table Tennis, IEEE/RSJ International Conference on Intelligent Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2011). Learning Task-Space Tracking Control with Kernels, IEEE/RSJ International Conference on Intelligent Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2011). Learning Elementary Movements Jointly with a Higher Level Task, IEEE/RSJ International Conference on Intelligent Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez-Rodriguez, M.; Grosse-Wentrup, M.; Hill, J.; Schoelkopf, B.; Gharabaghi, A.; Peters, J. (2011). Towards Brain-Robot Interfaces for Stroke Rehabilitation, Proceedings of the International Conference on Rehabilitation Robotics (ICORR).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wang, Z.; Boularias, A.; Muelling, K.; Peters, J. (2011). Balancing Safety and Exploitability in Opponent Modeling, Proceedings of the Twenty-Fifth National Conference on Artificial Intelligence (AAAI).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Oztop, E.; Peters, J. (2011). Reinforcement Learning to adjust Robot Movements to New Situations, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Best Paper Track.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Boularias, A.; Kober, J.; Peters, J. (2011). Relative Entropy Inverse Reinforcement Learning, Proceedings of Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Oztop, E.; Peters, J. (2010). Reinforcement Learning to adjust Robot Movements to New Situations, Proceedings of Robotics: Science and Systems (R:SS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Detry, R.; Piater, J.; Peters, J. (2010). Adapting Preshaped Grasping Movements using Vision Descriptors, From Animals to Animats 11, International Conference on the Simulation of Adaptive Behavior (SAB).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Detry, R.; Piater, J.; Peters, J. (2010). Grasping with Vision Descriptors and Motor Primitives, Proceedings of the International Conference on Informatics in Control, Automation and Robotics (ICINCO).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Kober, J.; Peters, J. (2010). Simulating Human Table Tennis with a Biomimetic Robot Setup, From Animals to Animats 11, International Conference on the Simulation of Adaptive Behavior (SAB).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2010). Incremental Sparsification for Real-time Online Model Learning, Proceedings of Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Muelling, K.; Altun, Y. (2010). Relative Entropy Policy Search, Proceedings of the Twenty-Fourth National Conference on Artificial Intelligence (AAAI), Physically Grounded AI Track.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Muelling, K.; Kroemer, O.; Lampert, C.H.; Schoelkopf, B.; Peters, J. (2010). Movement Templates for Learning of Hitting and Batting, IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2010). Using Model Knowledge for Learning Inverse Dynamics, IEEE International Conference on Robotics and Automation.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Erkan, A.: Kroemer, O.; Detry, R.; Altun, Y.; Piater, J.; Peters, J. (2010). Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Kober, J.; Peters, J. (2010). A Biomimetic Approach to Robot Table Tennis, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez-Rodriguez, M.; Grosse-Wentrup, M.; Peters, J.; Naros, G.; Hill, J.; Gharabaghi, A.; Schoelkopf, B. (2010). Epidural ECoG Online Decoding of Arm Movement Intention in Hemiparesis, 1st ICPR Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez-Rodriguez, M.; Peters, J.; Hill, J.; Schoelkopf, B.; Gharabaghi, A.; Grosse-Wentrup, M. (2010). Closing the Sensorimotor Loop: Haptic Feedback Facilitates Decoding of Arm Movement Imagery, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (Workshop on Brain-Machine Interfaces).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gomez Rodriguez, M.; Peters, J.; Hill, J.; Gharabaghi, A.; Schoelkopf, B.; Grosse-Wentrup, M. (2010). BCI and robotics framework for stroke rehabilitation, Proceedings of the 4th International BCI Meeting, May 31 - June 4, 2010. Asilomar, CA, USA.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chiappa, S.; Peters, J. (2010). Movement extraction by detecting dynamics switches and repetitions, Advances in Neural Information Processing Systems 24 (NIPS 2010), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Alvaro, M.; Peters, J.; Schoelfkopf, B.; Lawrence, N. (2010). Switched Latent Force Models for Movement Segmentation, Advances in Neural Information Processing Systems 24 (NIPS 2010), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Kober, J.; Peters, J. (2010). Learning Table Tennis with a Mixture of Motor Primitives, 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2010).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Muelling, K.; Kober, J. (2010). Experiments with Motor Primitives to learn Table Tennis, 12th International Symposium on Experimental Robotics (ISER 2010).   See Details [Details]   BibTeX Reference [BibTex]

Hachiya, H.; Peters, J.; Sugiyama, M. (2009). Efficient Sample Reuse in EM-based Policy Search, Proceedings of the 16th European Conference on Machine Learning (ECML 2009).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Kober, J.; Muelling, K.; Nguyen-Tuong, D.; Kroemer, O. (2009). Towards Motor Skill Learning for Robotics, Proceedings of the International Symposium on Robotics Research (ISRR), Invited Paper.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Seeger, M.; Peters, J. (2009). Local Gaussian Process Regression for Real Time Online Model Learning and Control, Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Neumann, G.; Peters, J. (2009). Fitted Q-iteration by Advantage Weighted Regression, Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2009). Policy Search for Motor Primitives in Robotics, Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chiappa, S.; Kober, J.; Peters, J. (2009). Using Bayesian Dynamical Systems for Motion Template Libraries, Advances in Neural Information Processing Systems 22 (NIPS 2008), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hoffman, M.; de Freitas, N. ; Doucet, A.; Peters, J. (2009). An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward, Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Kober, J. (2009). Using Reward-Weighted Imitation for Robot Reinforcement Learning, Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hachiya, H.; Akiyama, T.; Sugiyama, M.; Peters, J. (2009). Efficient Data Reuse in Value Function Approximation, Proceedings of the 2009 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning..   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2009). Learning Motor Primitives for Robotics, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Piater, J.; Jodogne, S.; Detry, R.; Kraft, D.; Krueger, N.; Kroemer, O.; Peters, J. (2009). Learning Visual Representations for Interactive Systems, Proceedings of the International Symposium on Robotics Research (ISRR), Invited Paper.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2009). Learning new basic Movements for Robotics, Proceedings of Autonome Mobile Systeme (AMS 2009).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K.; Peters, J. (2009). A computational model of human table tennis for robot application, Proceedings of Autonome Mobile Systeme (AMS 2009).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Detry, R.; Piater, J.; Peters, J. (2009). Active Learning Using Mean Shift Optimization for Robot Grasping, Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Schoelkopf, B.; Peters, J. (2009). Sparse Online Model Learning for Robot Control with Support Vector Regression, Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Sigaud, O.; Peters, J. (2009). From Motor Learning to Interaction Learning in Robots, Proceedings of Journees Nationales de la Recherche en Robotique.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Neumann, G.; Maass, W; Peters, J. (2009). Learning Complex Motions by Sequencing Simpler Motion Templates, Proceedings of the International Conference on Machine Learning (ICML2009).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Detry, R; Baseski, E.; Popovic, M.; Touati, Y.; Krueger, N; Kroemer, O.; Peters, J.; Piater, J; (2009). Learning Object-specific Grasp Affordance Densities, Proceedings of the International Conference on Development & Learning (ICDL 2009).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lampert, C.H.; Peters, J. (2009). Active Structured Learning for High-Speed Object Detection, Proceedings of the DAGM (Pattern Recognition).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth, M.P.; Peters, J.; Rasmussen, C.E. (2008). Approximate Dynamic Programming with Gaussian Processes, American Control Conference.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J.; Seeger, M.; Schoelkopf, B. (2008). Computed Torque Control with Nonparametric Regressions Techniques, American Control Conference.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Deisenroth, M.P.; Rasmussen, C.E.; Peters, J. (2008). Model-Based Reinforcement Learning with Continuous States and Actions, Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008), pp.19-24.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J.; Seeger, M.; Schoelkopf, B. (2008). Learning Inverse Dynamics: a Comparison, Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2008).   See Details [Details]   BibTeX Reference [BibTex]

Peters, J.; Nguyen-Tuong, D. (2008). Real-Time Learning of Resolved Velocity Control on a Mitsubishi PA-10, International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hachiya, H.; Akiyama, T.; Sugiyama, M.; Peters, J. (2008). Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation, Proceedings of the Twenty-Third National Conference on Artificial Intelligence (AAAI 2008).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wierstra,D.; Schaul,T.; Peters, J.; Schmidhuber, J. (2008). Natural Evolution Strategies, 2008 IEEE Congress on Evolutionary Computation.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2008). Local Gaussian Processes Regression for Real-time Model-based Robot Control, International Conference on Intelligent Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Mohler, B.; Peters, J. (2008). Learning Perceptual Coupling for Motor Primitives, International Conference on Intelligent Robot Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wierstra, D.; Schaul, T.; Peters, J.; Schmidthuber, J. (2008). Fitness Expectation Maximization, 10th International Conference on Parallel Problem Solving from Nature (PPSN 2008).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wierstra,D.; Schaul,T.; Peters, J.; Schmidhuber, J. (2008). Episodic Reinforcement Learning by Logistic Reward-Weighted Regression, Proceedings of the International Conference on Artificial Neural Networks (ICANN).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Sehnke, F.; Osendorfer, C; Rueckstiess, T; Graves, A.; Peters, J.; Schmidhuber, J. (2008). Policy Gradients with Parameter-based Exploration for Control, Proceedings of the International Conference on Artificial Neural Networks (ICANN).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Kober, J.; Nguyen-Tuong, D. (2008). Policy Learning - a unified perspective with applications in robotics, Proceedings of the European Workshop on Reinforcement Learning (EWRL).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J.; Peters, J. (2008). Reinforcement Learning of Perceptual Coupling for Motor Primitives, Proceedings of the European Workshop on Reinforcement Learning (EWRL).   See Details [Details]   BibTeX Reference [BibTex]

Nguyen-Tuong, D.; Peters, J. (2008). Learning Robot Dynamics for Computed Torque Control using Local Gaussian Processes Regression, Proceedings of the ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems, LAB-RS 2008.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S. (2007). Policy Learning for Motor Skills, Proceedings of 14th International Conference on Neural Information Processing (ICONIP).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wierstra, D.; Foerster, A.; Peters, J.; Schmidhuber, J. (2007). Solving Deep Memory POMDPs with Recurrent Policy Gradients, Proceedings of the International Conference on Artificial Neural Networks (ICANN).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S.; Schoelkopf, B. (2007). Towards Machine Learning of Motor Skills, Proceedings of Autonome Mobile Systeme (AMS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Theodorou, E; Peters, J.; Schaal, S. (2007). Reinforcement Learning for Optimal Control of Arm Movements, Abstracts of the 37st Meeting of the Society of Neuroscience.   See Details [Details]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S. (2007). Reinforcement learning for operational space control, International Conference on Robotics and Automation (ICRA2007).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Schaal, S. (2007). Using reward-weighted regression for reinforcement learning of task space control, Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S. (2007). Applying the episodic natural actor-critic architecture to motor primitive learning, Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Schaal, S. (2007). Reinforcement learning by reward-weighted regression for operational space control, Proceedings of the International Conference on Machine Learning (ICML2007).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Theodorou, E.;Schaal, S. (2007). Policy gradient methods for machine learning, INFORMS Conference of the Applied Probability Society.   See Details [Details]   BibTeX Reference [BibTex]

Riedmiller, M.;Peters, J.;Schaal, S. (2007). Evaluation of policy gradient methods and variants on the cart-pole benchmark, Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Schaal, S. (2006). Learning operational space control, Robotics: Science and Systems (RSS 2006), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Schaal, S. (2006). Reinforcement Learning for Parameterized Motor Primitives, Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ting, J.;Mistry, M.;Nakanishi, J.;Peters, J.;Schaal, S. (2006). A Bayesian approach to nonlinear parameter identification for rigid body dynamics, Robotics: Science and Systems (RSS 2006), Cambridge, MA: MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Schaal, S. (2006). Policy gradient methods for robotics, Proceedings of the IEEE International Conference on Intelligent Robotics Systems (IROS 2006).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nakanishi, J.;Cory, R.;Mistry, M.;Peters, J.;Schaal, S. (2005). Comparative experiments on task space control with redundancy resolution, IEEE International Conference on Intelligent Robots and Systems (IROS 2005).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Vijayakumar, S.;Schaal, S. (2005). Natural Actor-Critic, Proceedings of the 16th European Conference on Machine Learning (ECML 2005).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Mistry, M.;Udwadia, F. E.;Schaal, S. (2005). A new methodology for robot control design, The 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC 2005).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Mistry, M.;Udwadia, F. E.;Cory, R.;Nakanishi, J.;Schaal, S. (2005). A unifying framework for the control of robotics systems, IEEE International Conference on Intelligent Robots and Systems (IROS 2005).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schaal, S.;Peters, J.;Nakanishi, J.;Ijspeert, A. (2004). Learning Movement Primitives, International Symposium on Robotics Research (ISRR2003).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Schaal, S. (2004). Learning Motor Primitives with Reinforcement Learning, Proceedings of the 11th Joint Symposium on Neural Computation.   See Details [Details]   BibTeX Reference [BibTex]

Mohajerian, P.;Peters, J.;Ijspeert, A.;Schaal, S. (2003). A unifying computational framework for optimization and dynamic systems approaches to motor control, Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Vijayakumar, S.;Schaal, S. (2003). Reinforcement learning for humanoid robotics, IEEE-RAS International Conference on Humanoid Robots (Humanoids2003).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.;Vijayakumar, S.;Schaal, S. (2003). Scaling reinforcement learning paradigms for motor learning, Proceedings of the 10th Joint Symposium on Neural Computation (JSNC 2003).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schaal, S.;Peters, J.;Nakanishi, J.;Ijspeert, A. (2003). Control, planning, learning, and imitation with dynamic movement primitives, Workshop on Bilateral Paradigms on Humans and Humanoids, IEEE International Conference on Intelligent Robots and Systems (IROS 2003).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Vijayakumar, S.; D’Souza, A.; Peters, J.; Conradt, J.; Rutkowski,T.; Ijspeert, A.; Nakanishi, J.; Inoue, M.; Shibata, T.; Wiryo, A.; Itti, L.; Amari, S.; Schaal, S (2002). Real-Time Statistical Learning for Oculomotor Control and Visuomotor Coordination, Advances in Neural Information Processing Systems (NIPS), Demonstration Track.   See Details [Details]   BibTeX Reference [BibTex]

Burdet, E.; Tee, K.P.; Chew, C.M.; Peters, J.; Bt, V.L. (2001). Hybrid IDM/Impedance Learning in Human Movements, First International Symposium on Measurement, Analysis and Modeling of Human Functions Proceedings.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Peters, J.; Riener, R (2000). A real-time model of the human knee for application in virtual orthopaedic trainer, Proceedings of the 10th International Conference on Biomedical Engineering Conference (ICBME).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

  

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