Contact

Prof. Dr. (USC, USA) Jan Peters

Address: Spemannstr. 38
72076 Tübingen
Room number: 239
Phone: +49 7071 601 585
Fax: +49 7071 601 552
E-Mail: jan.peters

 

Picture of Peters, Jan, Prof. Dr. (USC, USA)

Jan Peters

Position: Senior Research Scientist  Unit: Schölkopf

While I remain affliated with MPI as an adjunct scientist, I am now a full professor at Technische Universität Darmstadt (TU Darmstadt).

My research centers around the goal of bringing advanced motor skills to robotics using techniques from machine learning. You can check out my research interests and my publications for further information on my private homepage at private homepage.

Jan Peters is a full professor at Technische Universität Darmstadt (TU Darmstadt) heading the intelligent systems group while still being affliated with the MPI heading the robot learning lab as an adjunct scientist.

Jan Peters joined the Max-Planck Institute for Biological Cybernetics in April 2007 as a research scientist. Before joining MPI, Jan Peters studied Electrical Engineering, Computer Science and Mechanical Engineering. He graduated from the University of Hagen in 2000 with a Diplom-Informatiker (German M.Sc. in Computer Science) and from Munich University of Technology in 2001 with a Diplom-Ingenieur in Electrical Engineering (German M.Sc. in Electrical Engineering). In 2000-2001, he spent two semesters as visiting student at National University of Singapore. In 2002, he completed a M.Sc. in Computer Science and, in 2005, a M.S. in Mechanical Engineering both from USC. He joined USC's Computer Science Ph.D. program and the CLMC Lab in Fall 2001. Jan Peters has been a visiting research student at the Department of Robotics at the German Aerospace Research Center in Germany, at Siemens Advanced Engineering in Singapore and at the Department of Humanoid Robotics and Computational Neuroscience at the Advanded Telecommunication Research (ATR) Center in Japan. Jan Peters graduated from University of Southern California with a Ph.D. in Computer Science in March 2007. He remains affiliated with the CLMC Lab as an adjunct researcher.

More information on Jan Peters can be found on his private homepage.

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Books (2):

Sigaud O and Peters J: From Motor Learning to Interaction Learning in Robots, 538, Springer, Berlin, Germany, (January-2010). ISBN: 978-3-642-05180-7, Series: Studies in Computational Intelligence ; 264
Peters J: Machine Learning for Robotics: Learning Methods for Robot Motor Skills, 107, VDM-Verlag, Saarbrücken, Germany, (May-2008). ISBN: 978-3-639-02110-3

Proceedings (1):

Lespérance Y, Lakemeyer G, Peters J and Pirri F: CogRob 2008: The 6th International Cognitive Robotics Workshop, 6th International Cognitive Robotics Workshop (CogRob 2008), 35, Patras University Press, Patras, Greece, (July-2008).
978-960-6843-09-9

Articles (36):

Muelling K, Boularias A, Mohler B, Schölkopf B and Peters J (October-2014) Learning strategies in table tennis using inverse reinforcement learning Biological Cybernetics 108(5) 603-619.
Kober J, Wilhelm A, Oztop E and Peters J (November-2012) Reinforcement learning to adjust parametrized motor primitives to new situations Autonomous Robots 33(4) 361-379.
Nguyen-Tuong D and Peters J (August-2012) Online Kernel-based Learning for Task-Space Tracking Robot Control IEEE Transactions on Neural Networks and Learning Systems 23(9) 1417-1425.
Lampert CH and Peters J (March-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) 31-41.
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Hachiya H, Peters J and Sugiyama M (November-2011) Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning Neural Computation 23(11) 2798-2832.
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Mülling K, Kober J and Peters J (October-2011) A biomimetic approach to robot table tennis Adaptive Behavior 19(5) 359-376.
Kober J and Peters J (July-2011) Policy Search for Motor Primitives in Robotics Machine Learning 84(1-2) 171-203.
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Gomez Rodriguez M, Peters J, Hill J, Schölkopf B, Gharabaghi A and Grosse-Wentrup M (June-2011) Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery Journal of Neural Engineering 8(3) 1-12.
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Kroemer O, Lampert CH and Peters J (June-2011) Learning Dynamic Tactile Sensing with Robust Vision-based Training IEEE Transactions on Robotics 27(3) 545-557.
Nguyen-Tuong D and Peters J (May-2011) Incremental online sparsification for model learning in real-time robot control Neurocomputing 74(11) 1859-1867.
Nguyen-Tuong D and Peters J (April-2011) Model learning for robot control: a survey Cognitive Processing 12(4) 319-340.
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Detry R, Kraft D, Kroemer O, Peters J, Krüger N and Piater J (March-2011) Learning grasp affordance densities Paladyn: Journal of Behavioral Robotics 2(1) 1-17.
Piater J, Jodogne S, Detry R, Kraft D, Krüger N, Kroemer O and Peters J (February-2011) Learning Visual Representations for Perception-Action Systems International Journal of Robotics Research 30(3) 294-307.
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Peters J, Kober J and Schaal S (December-2010) Algorithmen zum Automatischen Erlernen von Motorfähigkeiten at - Automatisierungstechnik 58(12) 688-694.
Peters J (November-2010) Policy gradient methods Scholarpedia 5(11) 3698.
Wierstra D, Förster A, Peters J and Schmidhuber J (October-2010) Recurrent Policy Gradients Logic Journal of the IGPL 18(5) 620-634.
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Kroemer O, Detry R, Piater J and Peters J (September-2010) Combining active learning and reactive control for robot grasping Robotics and Autonomous Systems 58(9) 1105-1116.
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Kober J and Peters J (June-2010) Imitation and Reinforcement Learning IEEE Robotics and Automation Magazine 17(2) 55-62.
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Sehnke F, Osendorfer C, Rückstiess T, Graves A, Peters J and Schmidhuber J (May-2010) Parameter-exploring policy gradients Neural Networks 21(4) 551-559.
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Morimura T, Uchibe E, Yoshimoto J, Peters J and Doya K (February-2010) Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning Neural Computation 22(2) 342-376.
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Hachiya H, Akiyama T, Sugiyama M and Peters J (December-2009) Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning Neural Networks 22(10) 1399-1410.
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Nguyen-Tuong D, Seeger M and Peters J (November-2009) Model Learning with Local Gaussian Process Regression Advanced Robotics 23(15) 2015-2034.
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Peters J, Morimoto J, Tedrake R and Roy N (September-2009) Robot Learning IEEE Robotics and Automation Magazine 16(3) 19-20.
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Peters J and Ng AY (August-2009) Guest editorial: Special issue on robot learning, Part B Autonomous Robots 27(2) 91-92.
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Peters J and Kober J (August-2009) Policy Search for Motor Primitives KI - Zeitschrift Künstliche Intelligenz 23(3) 38-40.
Peters J and Ng AY (July-2009) Guest editorial: Special issue on robot learning, Part A Autonomous Robots 27(1) 1-2.
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Deisenroth MP, Rasmussen CE and Peters J (March-2009) Gaussian Process Dynamic Programming Neurocomputing 72(7-9) 1508-1524.
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Peters J (November-2008) Machine Learning for Motor Skills in Robotics Künstliche Intelligenz 2008(4) 41-43.
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Nakanishi J, Cory R, Mistry M, Peters J and Schaal S (June-2008) Operational Space Control: A Theoretical and Empirical Comparison International Journal of Robotics Research 27(6) 737-757.
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Peters J and Schaal S (May-2008) Reinforcement Learning of Motor Skills with Policy Gradients Neural Networks 21(4) 682-697.
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Steinke F, Hein M, Peters J and Schölkopf B (April-2008) Manifold-valued Thin-plate Splines with Applications in Computer Graphics Computer Graphics Forum 27(2) 437-448.
Peters J and Schaal S (March-2008) Natural Actor-Critic Neurocomputing 71(7-9) 1180-1190.
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Peters J and Schaal S (February-2008) Learning to Control in Operational Space International Journal of Robotics Research 27(2) 197-212.
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Peters J, Mistry M, Udwadia F, Nakanishi J and Schaal S (October-2007) A unifying framework for robot control with redundant DOFs Autonomous Robots 24(1) 1-12.
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Peters J (September-2007) Book Review: Computational Intelligence: Principles, Techniques and Applications by Amit Konar The Computer Journal 50(6) 758-758.
Peters J (November-1998) Book Review: An Introduction to Fuzzy Logic for Practical Applications Künstliche Intelligenz (KI) 98(4) 60-60.

Conference papers (94):

Peters J, Mülling K and Kober J (2014) Experiments with Motor Primitives to learn Table Tennis In: Experimental Robotics, , 12th International Symposium on Experimental Robotics (ISER 2010), Springer, Berlin, Germany, 347-359.
Mülling K, Boularias A, Mohler B, Schölkopf B and Peters J (September-27-2013) Inverse Reinforcement Learning for Strategy Extraction, ECML/PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA13), 1-9.
Wang Z, Deisenroth MP, Ben Amor H, Vogt D, Schölkopf B and Peters J (July-2013) Probabilistic Modeling of Human Movements for Intention Inference In: Robotics: Science and Systems VIII, , 2012 Robotics: Science and Systems Conference, MIT Press, Cambridge, MA, USA, 433-440.
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Peters J, Mülling K, Kober J, Nguyen-Tuong D and Krömer O (August-2012) Robot Skill Learning, 20th European Conference on Artificial Intelligence (ECAI 2012), IOS Press, Amsterdam, Netherlands, 40-45.
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Kroemer O, Ugur E, Oztop E and Peters J (May-2012) A Kernel-based Approach to Direct Action Perception, IEEE International Conference on Robotics and Automation (ICRA 2012), IEEE, Piscataway, NJ, USA, 2605-2610.
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Bócsi B, Hennig P, Csató L and Peters J (May-2012) Learning Tracking Control with Forward Models, IEEE International Conference on Robotics and Automation (ICRA 2012), IEEE, Piscataway, NJ, USA, 259-264.
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Daniel C, Neumann G and Peters J (April-2012) Hierarchical Relative Entropy Policy Search, Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012), International Machine Learning Society, Madison, WI, USA, 273-281, Series: JMLR Workshop and Conference Proceedings ; 22.
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Kroemer O and Peters J (January-2012) A Non-Parametric Approach to Dynamic Programming In: Advances in Neural Information Processing Systems 24, , Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran, Red Hook, NY, USA, 1719-1727.
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Wang Z, Lampert CH, Mülling K, Schölkopf B and Peters J (September-2011) Learning anticipation policies for robot table tennis, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), IEEE, Piscataway, NJ, USA, 332-337.
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Kober J and Peters J (September-2011) Learning elementary movements jointly with a higher level task, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), IEEE, Piscataway, NJ, USA, 338-343.
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Bocsi B, Nguyen-Tuong D, Csato L, Schölkopf B and Peters J (September-2011) Learning inverse kinematics with structured prediction, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), IEEE, Piscataway, NJ, USA, 698-703.
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Last updated: Tuesday, 18.11.2014