Research Institute for Cognition and Robotics

Universität Bielefeld › CoR-Lab

Supported by

Honda

 

HRI

 

NRW

Submitted
Denecke, A., I. Ayllon Clemente, H. Wersing, and J. J. Steil, "Hypothesis-based Image Segmentation using Learning Vector Quantization in Levelset Methods and Graph Cuts", Image and Vision Computing, Submitted.
Soltoggio, A., and J. J. Steil, "Solving the distal reward problem with rare correlations", Neural Computation, under revision, Submitted.
In Press
Lemme, A., F. R. Reinhart, and J. J. Steil, "Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders", Neural Networks, In Press.
Neumann, K., and J. J. Steil, "Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity", Neurocomputing (Special Issue: International Symposium on Extreme Learning Machines), In Press.
Neumann, K., C. Emmerich, and J. J. Steil, "Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods", Journal of Intelligent Learning Systems and Applications, In Press.
Nordmann, A., C. Emmerich, S. Rüther, A. Lemme, S. Wrede, and J. J. Steil, "Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing", International Conference on Robotics and Automation, St. Paul, In Press.
2012
Emmerich, C., F. R. Reinhart, and J. J. Steil, "Balancing of neural contributions for multi-modal hidden state association", European Symposium on Artificial Neural Networks , Brugge , d-facto, pp. 19-24, 2012.
Soltoggio, A., and J. J. Steil, "How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project ", KI- Künstliche Intelligenz, 2012.
Muehlig, M., J. J. Steil, and M. Gienger, "Interactive Imitation Learning of Object Movement Skills", Autonomous Robots, vol. 32, no. 2, pp. 97-114, 2012.
Neumann, K., and J. J. Steil, "Intrinsic Plasticity via Natural Gradient Descent", ESANN, pp. 555-560, 2012.
Freire, A., A. Lemme, J. J. Steil, and G. Barreto, "Learning visuo-motor coordination for pointing without depth calculation", European Symposium on Artificial Neural Networks, pp. 91-96, 2012.
Reinhart, F. R., and J. J. Steil, "Regularization and stability in reservoir networks with output feedback", Neurocomputing, vol. 90, 2012.  Download: ReinhartSteil-Neurocomputing2011-preprint.pdf (559.09 KB)
2011
Reinhart, F. R., and J. J. Steil, "Neural learning and dynamical selection of redundant solutions for inverse kinematic control", IEEE Humanoids, Bled, pp. 564 - 569, 10/2011.  Download: ReinhartSteil-Humanoids2011.pdf (933.08 KB)
Weirich, A., C. Haumann, S. Schüler, and J. J. Steil, "Learning Lab - Programming Interaction with Humanoid Robots for Pupils", Int. Conf. Robotics in Education, pp. 21-28, 09/2011.
Rolf, M., J. J. Steil, and M. Gienger, "Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions", IEEE Int. Conf. Development and Learning and on Epigenetic Robotics (Best Student Paper Award), Frankfurt, IEEE, 08/2011.  Download: RolfSteilGienger2011-ICDL-EpiRob.pdf (1.49 MB)
Rolf, M., and J. J. Steil, "Online learning in the loop: fast explorative learning of inverse models in high dimensions", Workshop "New Challenges in Neural Computation" @ DAGM 2011, 08/2011.
Reinhart, F. R., and J. J. Steil, "Reservoir regularization stabilizes learning of Echo State Networks with output feedback", European Symposium on Artificial Neural Networks: d-facto, pp. 59 - 64, 04/2011.  Download: ReinhartSteilESANN2011.pdf (582.05 KB)
Neumann, K., and J. J. Steil, "Batch Intrinsic Plasticity for Extreme Learning Machines", Int. Conf. Artificial Neural Networks, Helsinki, pp. 339 -- 346, 2011.
Reinhart, F. R., and J. J. Steil, "A constrained regularization approach for input-driven recurrent neural networks", Differential Equations and Dynamical Systems, vol. 19, no. 1, pp. 27 -- 46, 2011.  Download: ReinhartSteil-DEDS2009.pdf (855.27 KB)
Steffen, J., M. Pardowitz, J. J. Steil, and H. Ritter, "Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation", Neurocomputing, vol. 74, pp. 1372–1381, 2011.
Ritter, H., R. Haschke, F. Roethling, and J. J. Steil, "Manual Intelligence as a Rosetta Stone for Robot Cognition", Robotics Research , vol. 66: Springer, pp. 135 -146, 2011.  Download: RitterHaschkeRoethlingSteilRosettaStone2007.pdf (640.07 KB)
Gienger, M., M. Muehlig, and J. J. Steil, "Robot with automatic selection of task-specific representations for imitation learning", European Patent Office, G05B19/42, 2011.
Reinhart, F. R., and J. J. Steil, "State prediction: a constructive method to program dynamics of recurrent neural networks", Int. Conf. Artificial Neural Networks, Helsinki, pp. 159 -- 166, 2011.  Download: ReinhartSteil-ICANN2011-draft.pdf (1.1 MB)
Steil, J. J., "What do humanoid robots offer to cognitive psychology ?", Connectionist Models of Neurocognition and Emergent Behavior - From Theory to Applications, no. 20: World Scientific, pp. 361-371, 2011.
2010
Lemme, A., F. R. Reinhart, and J. J. Steil, "Efficient online learning of a non-negative sparse autoencoder", ESANN, Bruges, d-facto, pp. 1-6, April 2010.  Download: LemmeReinhartSteil-ESANN2010.pdf (2.75 MB)

Upcoming Events

Go to ...

Login

Contact  |  Imprint

© 2011 Universität Bielefeld