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Auke Ijspeert
Associate Professor
PhD (University of Edinburgh, 1999)
web site: http://biorob.epfl.ch

office(s): INN237
phone(s): [+41 21 69] 32658,32640
fax: +41 21 693 3705
BIOGRAPHY
Auke Ijspeert is an associate professor at the EPFL, and head of the Biorobotics Laboratory (BioRob) (formerly the Biologically Inspired Robotics Group BIRG). He has a B.Sc./M.Sc. in physics from the EPFL, and a PhD in artificial intelligence from the University of Edinburgh. He carried out postdocs at IDSIA and EPFL (LAMI), and at the University of Southern California (USC). He then became a research assistant professor at USC, and an external collaborator at ATR (Advanced Telecommunications Research institute) in Japan. In 2002, he came back to the EPFL first as a SNF assistant professor, and since October 2009 as an associate professor (with tenure) within the Institute of Bioengineering.

His research interests are at the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and machine learning. He is interested in using numerical simulations and robots to get a better understanding of sensorimotor coordination in animals, and in using inspiration from biology to design novel types of robots and adaptive controllers. He is regularly invited to give talks on these topics. With his colleagues, he has received the Best Paper Award at ICRA2002, the Industrial Robot Highly Commended Award at CLAWAR2005, and the Best Paper Award at the IEEE-RAS Humanoids 2007 conference. He is an associate editor for the IEEE Transactions on Robotics, and has acted as guest editor for the IEEE Transactions on Biomedical Engineering, Autonomous Robots, and Biological Cybernetics. He was the Technical Program Chairman of 5 international conferences (BioADIT2004, SAB2004, AMAM2005, BioADIT2006, EPFL-LATSIS2006), and has been a program committee member of 40 conferences.

His full CV can be found here: http://biorob2.epfl.ch/users/ijspeert/CV_Ijspeert.pdf

CURRENT WORK
Locomotion control in natural and artificial systems: Using robots for testing neurobiological models
RobotCub: European project on humanoid robotics, see www.robotcub.org
Roombots: Modular robotics for adaptive and self-organizing furniture
Lampetra: Life-like Artefacts for Motor-Postural Experiments and Development of New Control Technologies inspired by Rapid Animal locomotion

For more projects see: http://biorob.epfl.ch

Auke Ijspeert's research is funded by the Swiss National Science Foundation, the European Commission, the EPFL, the French Ministry for Research and Technology, and Microsoft Research Cambridge.
Past funding: US National Science Foundation, European Space Agency, Swiss Commission for Technology and Innovation (CTI).
MAIN PUBLICATIONS
A. Ijspeert. A connectionist central pattern generator for the aquatic and terrestrial gaits of a simulated salamander. Biological Cybernetics, 84(5):331-348, 2001.
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A. Ijspeert, J. Nakanishi, and S. Schaal. Learning Attractor Landscapes for Learning Motor Primitives. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15 (NIPS2002), pages 1547-1554, 2002.
[ Details | Full Text ]
L. Righetti, J. Buchli, and A. J. Ijspeert. Dynamic hebbian learning in adaptive frequency oscillators. Physica D, 216(2):269-281, 2006.
[ Details | Full Text ]
A. J. Ijspeert, A. Crespi, D. Ryczko, and J.-M. Cabelguen. From swimming to walking with a salamander robot driven by a spinal cord model. Science, 315(5817):1416-1420, 2007.
[ Details | Full Text ]
Skills
Robotics, Computational neuroscience, Machine learning, Nonlinear dynamical systems
Teaching
Computer Science

Phd programs
Phd Students
Bicanski Andrej
Dégallier Sarah
Gay Sébastien
Karakasiliotis Konstantinos
Knüsel Jérémie
Pouya Soha
Spröwitz Alexander
van den Kieboom Jesse

Past Phd students:
Buchli Jonas Thesis details
Crespi Alessandro Thesis details
Mudry Pierre-André Thesis details
Righetti Ludovic Thesis details
Rossier Joël Thesis details


©2004-2010 Auke Ijspeert - EPFL, 1015 Lausanne - last updated : 2010-01-28 10:39:30
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