Jan Peters is a full professor (W3) for Intelligent Autonomous Systems at the Computer Science Department of the Technische Universitaet Darmstadt and at the same time a senior research scientist and group leader at the Max-Planck Institute for Intelligent Systems, where he heads the interdepartmental Robot Learning Group. Jan Peters has received the Dick Volz Best 2007 US PhD Thesis Runner-Up Award, the 2012 Robotics: Science & Systems - Early Career Spotlight, the 2013 INNS Young Investigator Award, and the IEEE Robotics & Automation Society‘s 2013 Early Career Award. In 2015, he was awarded an ERC Starting Grant.
Jan Peters has studied Computer Science, Electrical, Mechanical and Control Engineering at TU Munich and FernUni Hagen in Germany, at the National University of Singapore (NUS) and the University of Southern California (USC), and been an visiting researcher at the ATR Telecomunications Research Center in Japan. He has received four Master‘s degrees in these disciplines as well as a Computer Science Ph.D. from USC.
If you are interested in working with me, please either apply through http://www.ausy.tu-darmstadt.de/Main/OpenPositions or send an official application to Ms. Mara Cascianelli <mara.cascianelli@tuebingen.mpg.de>. PLEASE REFRAIN FROM SENDING ME YOUR APPLICATION BY EMAIL! You will not get a reply as they will get lost in my aggressive spam filter.
Robot Learning Reinforcement Learning Machine Learning Robotics Biomimetic Systems
I am interested in many topics. Among them are
For more information see my private homepage and on my group's homepage.
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.
Reinforcement learning ranks among the biggest challenges for machine learning. Just controlling a known dynamical system is hard on its own - interacting with an unknown system poses even harder decision problems, such as the infamous exploration-exploitation tradeoff. Most research in this area is still confined to theoretical ana...
Jan Peters Carl Edward Rasmussen Marc P. Deisenroth Philipp Hennig Oliver Kroemer Jens Kober Yevgeny Seldin Abdeslam Boularias
Akrour, R., Veiga, F., Peters, J., Neuman, G.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018 (conference) Acceptedei
Gondaliya, K., Peters, J., Rueckert, E.
Proceedings of the 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), pages: 7-12, October 2018 (conference)ei
Muratore, F., Treede, F., Gienger, M., Peters, J.
2nd Annual Conference on Robot Learning (CoRL), 87, pages: 700-713, Proceedings of Machine Learning Research, PMLR, October 2018 (conference)ei
Büchler, D., Calandra, R., Schölkopf, B., Peters, J.
IEEE Robotics and Automation Letters, Robotics and Automation Letters, 3(4):3161-3168, IEEE, 2018 (article)
ei
Akrour, R., Peters, J., Neuman, G.
14th European Workshop on Reinforcement Learning (EWRL), October 2018 (conference)ei
Parmas, P., Rasmussen, C., Peters, J., Doya, K.
Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4065-4074, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)ei
Lioutikov, R., Maeda, G., Veiga, F., Kersting, K., Peters, J.
IEEE International Conference on Robotics and Automation, (ICRA), pages: 1-8, IEEE, May 2018 (conference)ei
Ewerton, M., Rother, D., Weimar, J., Kollegger, G., Wiemeyer, J., Peters, J., Maeda, G.
Frontiers in Neurorobotics, 12, May 2018 (article)ei
Koert, D., Maeda, G., Neumann, G., Peters, J.
IEEE International Conference on Robotics and Automation, (ICRA), pages: 2433-2439, IEEE, May 2018 (conference)ei
Pinsler, R., Akrour, R., Osa, T., Peters, J., Neumann, G.
IEEE International Conference on Robotics and Automation, (ICRA), pages: 596-601, IEEE, May 2018 (conference)ei
Manschitz, S., Gienger, M., Kober, J., Peters, J.
IEEE Robotics and Automation Letters, 3(2):926-933, April 2018 (article)ei
Paraschos, A., Rueckert, E., Peters, J., Neumann, G.
Advanced Robotics, 32(6):297-310, April 2018 (article)ei
Osa, T., Pajarinen, J., Neumann, G., Bagnell, J., Abbeel, P., Peters, J.
Foundations and Trends in Robotics, 7(1-2):1-179, March 2018 (article)ei
Paraschos, A., Daniel, C., Peters, J., Neumann, G.
Autonomous Robots, 42(3):529-551, March 2018 (article)ei
Kroemer, O., Leischnig, S., Luettgen, S., Peters, J.
Autonomous Robots, 42(3):581-600, March 2018 (article)ei
Vinogradska, J., Bischoff, B., Peters, J.
IEEE Robotics and Automation Letters, 3(2):1330-1337, January 2018 (article)ei
Yi, Z., Zhang, Y., Peters, J.
Sensors and Actuators A: Physical, 269, pages: 41-52, January 2018 (article)ei
Tanneberg, D., Peters, J., Rueckert, E.
Neural Networks, 109, pages: 67-80, 2018 (article)ei
Gomez-Gonzalez, S., Neumann, G., Schölkopf, B., Peters, J.
IEEE Transactions on Robotics, 2018 (article) In revisionei
Vinogradska, J., Bischoff, B., Achterhold, J., Koller, T., Peters, J.
IEEE Transactions on Pattern Analysis and Machine Intelligence, pages: 1-1, 2018 (article)ev
Koc, O., Maeda, G., Peters, J.
Robotics and Autonomous Systems, 105, pages: 121-137, 2018 (article)ei
Osa, T., Peters, J., Neumann, G.
Advanced Robotics, 32(18):955-968, 2018 (article)ei
Šošić, A., Rueckert, E., Peters, J., Zoubir, A., Koeppl, H.
Journal of Machine Learning Research, 19(69):1-45, 2018 (article)ei
Veiga, F., Peters, J., Hermans, T.
IEEE Transactions on Haptics, 2018 (article) In pressei
Belousov, B., Peters, J.
Journal of Machine Learning Research, 2018 (article) Submittedei
Koc, O., Maeda, G., Peters, J.
IEEE Transactions on Robotics, 2018 (article) Submittedei
Veiga, F. F., B.B, E., Peters, J.
IEEE Transactions on Robotics, 2018 (article) Submittedei
Jayaram, V., Fiebig, K., Peters, J., Grosse-Wentrup, M.
In Brain–Computer Interfaces Handbook, pages: 425-442, 22, (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)ei
ei
Tanneberg, D., Peters, J., Rueckert, E.
Proceedings of the 1st Annual Conference on Robot Learning (CoRL), pages: 167-174, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (conference)ei
Tanneberg, D., Peters, J., Rueckert, E.
IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 198-204, IEEE, November 2017 (conference)ei
Rueckert, E., Nakatenus, M., Tosatto, S., Peters, J.
IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 811-816, IEEE, November 2017 (conference)ei
Stark, S., Peters, J., Rueckert, E.
IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 624-630, IEEE, November 2017 (conference)ei
Thiem, S., Stark, S., Tanneberg, D., Peters, J., Rueckert, E.
Workshop at the International Conference on Humanoid Robots (HUMANOIDS), November 2017 (conference)ei
Maeda, G., Ewerton, M., Osa, T., Busch, B., Peters, J.
Proceedings of the 1st Annual Conference on Robot Learning (CoRL), 78, pages: 37-46, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (conference)ei
van Hoof, H., Tanneberg, D., Peters, J.
Machine Learning, 106(9-10):1705-1724 , (Editors: Kurt Driessens, Dragi Kocev, Marko Robnik‐Sikonja, and Myra Spiliopoulou), October 2017, Special Issue of the ECML PKDD 2017 Journal Track (article)ei
Paraschos, A., Lioutikov, R., Peters, J., Neumann, G.
Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L), 2(4):2294-2301, October 2017 (article)ei
Fiebig, K., Jayaram, V., Hesse, T., Blank, A., Peters, J., Grosse-Wentrup, M.
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 131-136, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)am ei
Grossberger, L., Hohmann, M. R., Peters, J., Grosse-Wentrup, M.
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 160-164, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)am ei
Ewerton, M., Maeda, G., Rother, D., Weimar, J., Lotter, L., Kollegger, G., Wiemeyer, J., Peters, J.
In Workshop Human-in-the-loop robotic manipulation: on the influence of the human role at IROS, September 2017 (inproceedings)ei
Kollegger, G., Ewerton, M., Wiemeyer, J., Peters, J.
Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS), (663):151-163, Advances in Intelligent Systems and Computing, (Editors: Lames M., Saupe D. and Wiemeyer J.), Springer International Publishing, September 2017 (conference)ei
Parisi, S., Ramstedt, S., Peters, J.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages: 4634-4639, IEEE, September 2017 (conference)ei
Pajarinen, J., Kyrki, V., Koval, M., Srinivasa, S., Peters, J., Neumann, G.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages: 5694-5701, September 2017 (conference)ei
Akrour, R., Sorokin, D., Peters, J., Neumann, G.
Proceedings of the 34th International Conference on Machine Learning, 70, pages: 41-50, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)am ei
Lioutikov, R., Neumann, G., Maeda, G., Peters, J.
International Journal of Robotics Research, 36(8):879-894, July 2017 (article)ei
Abdulsamad, H., Arenz, O., Peters, J., Neumann, G.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, (ICAPS), pages: 419-424, (Editors: Laura Barbulescu, Jeremy Frank, Mausam and Stephen F. Smith), AAAI Press, June 2017 (conference)ei
Wilbers, D., Lioutikov, R., Peters, J.
IEEE International Conference on Robotics and Automation (ICRA), pages: 3469-3475, IEEE, May 2017 (conference)ei
Farraj, F. B., Osa, T., Pedemonte, N., Peters, J., Neumann, G., Giordano, P.
IEEE International Conference on Robotics and Automation (ICRA), pages: 329-335, IEEE, May 2017 (conference)ei
Gabriel, A., Akrour, R., Peters, J., Neumann, G.
IEEE International Conference on Robotics and Automation (ICRA), pages: 6435-6441, IEEE, May 2017 (conference)ei
End, F., Akrour, R., Peters, J., Neumann, G.
IEEE International Conference on Robotics and Automation (ICRA), pages: 6442-6448, IEEE, May 2017 (conference)ei