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.
I am interested in many topics. Among them are
- learning models for control
- learning operational space control
- reinforcement learning
- learning motor primitives
- learning complex tasks
- learning to grasp
- learning to play ping-pong
- motor primitives for hitting
- brain-robot interfaces
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.
E. Sgouritsa, D. Janzing, J. Peters, B. Schölkopf
(2013). Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders In: Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), (Ed) A Nicholson and P Smyth, AUAI Press Corvallis, Oregon, USA, 556-565, UAI 2013
J. Peters, D. Janzing, B. Schölkopf
(2013). Causal Inference on Time Series using Restricted Structural Equation Models In: Advances in Neural Information Processing Systems 26, (Ed) C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger, 154-162, 27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
T. Meyer, J. Peters, TO. Zander, D. Brötz, SR. Soekadar, B. Schölkopf, M. Grosse-Wentrup
(2012). Investigating the Neural Basis of Brain-Computer Interface (BCI)-based Stroke Rehabilitation In: International Conference on NeuroRehabilitation (ICNR) , (Ed) JL Pons, D Torricelli, and M Pajaro, Springer-Verlag, Berlin, Germany, 617-621, ICNR 2012