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

Jan Peters

Position: Group Leader  Unit: Schölkopf

While I remain affliated with MPI, I am now also a full professor at Darmstadt University of Technology (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. I have recently completed my Ph.D. at the Department of Computer Science at the University of Southern California in sunny Los Angeles. There, I have been working with Stefan Schaal, Sethu Vijayakumar (now at U. Edinburgh, UK), and Firdaus Udwadia (from the Department of Mechanical Engineering). My fabulous committee also included Chris Atkeson and Gaurav Sukhatme. Before joining USC, I studied computer science (with a focus on artificial intelligence), and electrical engineering (majoring in automation & control) in Germany and Singapore, worked in Germany, Japan, and Singapore. Furthermore, I obtained a Dipl.-Ing. (German MSEE) from Munich University of Technology and a Dipl.-Inform. (German MSCS) from Hagen University. At University of Southern California, I have obtained the obligatory, redundant MS in Computer Science and, recently, completed a Masters in Mechanical Engineering. Check out my curriculum vitae for more information. More information on Jan Peters can be found on his private homepage and on his group's homepage. For a reasonably formatted version of my publications see here.

Jan Peters is a full professor at Darmstadt University of Technology (TU Darmstadt) heading the intelligent systems group while still being affliated with the MPI heading the robot learning lab.

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 (3):

Kober J Person and Peters J Person: Learning Motor Skills: From Algorithms to Robot Experiments, 191 pages, Springer Verlag, (2014). ISBN: 978-3-319-03193-4
Sigaud O and Peters J Person: From Motor Learning to Interaction Learning in Robots, 538, Springer, Berlin, Germany, (2010). ISBN: 978-3-642-05180-7
Peters J Person: Machine Learning for Robotics: Learning Methods for Robot Motor Skills, 107, VDM-Verlag, Saarbrücken, Germany, (2008). ISBN: 978-3-639-02110-3

Proceedings (2):

Deisenroth MP Person, Szepesvári C and Peters J Person: Proceedings of the 10th European Workshop on Reinforcement Learning, Volume 24, European Workshop On Reinforcement Learning, EWRL 2012, 173 pages, JMLR, (2013).
Lespérance Y , Lakemeyer G , Peters J Person and Pirri F : CogRob 2008: The 6th International Cognitive Robotics Workshop, 6th International Cognitive Robotics Workshop (CogRob 2008), 35, Patras University Press, Patras, Greece, (2008).

978-960-6843-09-9

Articles (50):

Bocsi B , Csató L and Peters J Person (2014) Indirect Robot Model Learning for Tracking Control Advanced Robotics 28(9) 589-599.
Wierstra D , Schaul T , Glasmachers T , Sun Y , Peters J Person and Schmidhuber J (2014) Natural Evolution Strategies Journal of Machine Learning Research 15 949-980.
Dann C , Neumann G and Peters J Person (2014) Policy Evaluation with Temporal Differences: A Survey and Comparison Journal of Machine Learning Research 15 809-883.
Meyer T Person, Peters J Person, Zander TO Person, Schölkopf B Person and Grosse-Wentrup M Person (2014) Predicting Motor Learning Performance from Electroencephalographic Data Journal of NeuroEngineering and Rehabilitation 11:24.
Ben Amor H , Saxena A , Hudson N and Peters J Person (2014) Special issue on autonomous grasping and manipulation Autonomous Robots 36(1-2) 1-3.
Mülling K Person, Boularias A Person, Mohler B Person, Schölkopf B Person and Peters J Person (2014) Learning Strategies in Table Tennis using Inverse Reinforcement Learning Biological Cybernetics . accepted
Kupcsik AG , Deisenroth MP , Peters J Person, Ai Poh L , Vadakkepat V and Neumann G (2014) Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills Artificial Intelligence . submitted
Deisenroth MP Person, Neumann G and Peters J Person (2013) A Survey on Policy Search for Robotics, Foundations and Trends in Robotics Foundations and Trends in Robotics 2(1-2) 1-142.
Mülling K Person, Kober J Person, Kroemer O Person and Peters J Person (2013) Learning to Select and Generalize Striking Movements in Robot Table Tennis International Journal of Robotics Research 32(3) 263-279.
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Englert P , Paraschos A , Peters J Person and Deisenroth MP Person (2013) Probabilistic Model-based Imitation Learning Adaptive Behavior Journal 21(5) 388-403.
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Wang Z Person, Mülling K Person, Deisenroth M Person, Ben Amor H , Vogt D , Schölkopf B Person and Peters J Person (2013) Probabilistic movement modeling for intention inference in human-robot interaction International Journal of Robotics Research 32(7) 841-858.
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Kober J Person, Bagnell D and Peters J Person (2013) Reinforcement Learning in Robotics: A Review International Journal of Robotics Research 32(11) 1238–1274.
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Wang Z Person, Boularias A Person, Mülling K Person, Schölkopf B Person and Peters J Person (2013) Anticipatory Action Selection for Human-Robot Table Tennis . submitted
Wang Z Person, Deisenroth M Person, Zhang K Person, Boularias A Person, Schölkopf B Person and Peters J Person (2013) Hierarchical Gaussian Process Dynamics Models for Human Movement Analysis . submitted
Nguyen-Tuong D Person and Peters J Person (2012) Online Kernel-based Learning for Task-Space Tracking Robot Control IEEE Transactions on Neural Networks and Learning Systems 23(9) 1417-1425.
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Lampert CH Person and Peters J Person (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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Kober J Person, Wilhelm A , Oztop E and Peters J Person (2012) Reinforcement learning to adjust parametrized motor primitives to new situations Autonomous Robots 33(4) 361-379.
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Hachiya H Person, Peters J Person and Sugiyama M (2011) Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning Neural Computation 23(11) 2798-2832.
Mülling K Person, Kober J Person and Peters J Person (2011) A biomimetic approach to robot table tennis Adaptive Behavior 19(5) 359-376.
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Kober J Person and Peters J Person (2011) Policy Search for Motor Primitives in Robotics Machine Learning 84(1-2) 171-203.
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Gomez Rodriguez M Person, Peters J Person, Hill J Person, Schölkopf B Person, Gharabaghi A and Grosse-Wentrup M Person (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 Person, Lampert CH Person and Peters J Person (2011) Learning Dynamic Tactile Sensing with Robust Vision-based Training IEEE Transactions on Robotics 27(3) 545-557.
Nguyen-Tuong D Person and Peters J Person (2011) Incremental online sparsification for model learning in real-time robot control Neurocomputing 74(11) 1859-1867.
Nguyen-Tuong D Person and Peters J Person (2011) Model learning for robot control: a survey Cognitive Processing 12(4) 319-340.
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Detry R , Kraft D , Kroemer O Person, Peters J Person, Krüger N and Piater J Person (2011) Learning grasp affordance densities Paladyn: Journal of Behavioral Robotics 2(1) 1-17.
Piater J Person, Jodogne S , Detry R , Kraft D , Krüger N , Kroemer O Person and Peters J Person (2011) Learning Visual Representations for Perception-Action Systems International Journal of Robotics Research 30(3) 294-307.
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Peters J Person, Mülling K Person and Altun Y Person (2011) Reinforcement Learning with Bounded Information Loss AIP Conference Proceedings 1305(1) 365-372.
Peters J Person, Kober J Person and Schaal S (2010) Algorithmen zum Automatischen Erlernen von Motorfähigkeiten at - Automatisierungstechnik 58(12) 688-694.
Peters J Person (2010) Policy gradient methods Scholarpedia 5(11) 3698.
Wierstra D , Förster A , Peters J Person and Schmidhuber J (2010) Recurrent Policy Gradients Logic Journal of the IGPL 18(5) 620-634.
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Kroemer O Person, Detry R , Piater J Person and Peters J Person (2010) Combining active learning and reactive control for robot grasping Robotics and Autonomous Systems 58(9) 1105-1116.
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Kober J Person and Peters J Person (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 Person and Schmidhuber J (2010) Parameter-exploring policy gradients Neural Networks 21(4) 551-559.
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Morimura T , Uchibe E , Yoshimoto J , Peters J Person and Doya K (2010) Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning Neural Computation 22(2) 342-376.
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Hachiya H Person, Akiyama T , Sugiyama M and Peters J Person (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 Person, Seeger M Person and Peters J Person (2009) Model Learning with Local Gaussian Process Regression Advanced Robotics 23(15) 2015-2034.
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Peters J Person, Morimoto J , Tedrake R and Roy N (2009) Robot Learning IEEE Robotics and Automation Magazine 16(3) 19-20.
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Peters J Person and Ng AY (2009) Guest editorial: Special issue on robot learning, Part B Autonomous Robots 27(2) 91-92.
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Peters J Person and Kober J Person (2009) Policy Search for Motor Primitives KI - Zeitschrift Künstliche Intelligenz 23(3) 38-40.
Peters J Person and Ng AY (2009) Guest editorial: Special issue on robot learning, Part A Autonomous Robots 27(1) 1-2.
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Deisenroth MP Person, Rasmussen CE Person and Peters J Person (2009) Gaussian Process Dynamic Programming Neurocomputing 72(7-9) 1508-1524.
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Peters J Person (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 Person and Schaal S (2008) Operational Space Control: A Theoretical and Empirical Comparison International Journal of Robotics Research 27(6) 737-757.
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Peters J Person and Schaal S (2008) Reinforcement Learning of Motor Skills with Policy Gradients Neural Networks 21(4) 682-697.
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Steinke F Person, Hein M Person, Peters J Person and Schölkopf B Person (2008) Manifold-valued Thin-plate Splines with Applications in Computer Graphics Computer Graphics Forum 27(2) 437-448.
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