Research Institute for Cognition and Robotics

Universität Bielefeld › CoR-Lab

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Publications
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Vikram, T. N., M. Tscherepanow, and B. Wrede, "A Random Center Surround Bottom up Visual Attention Model useful for Salient Region Detection", IEEE Workshop on Applications of Computer Vision, Kona, IEEE Society Press, In Press.
Vikram, T. N., M. Tscherepanow, and B. Wrede, "A Random Center Surround Bottom up Visual Attention Model useful for Salient Region Detection", IEEE Workshop on Applications of Computer Vision: IEEE Society Press, In Press.
Soltoggio, A., A. Lemme, F. R. Reinhart, and J. J. Steil, "Rare neural correlations implement robotic conditioning with reward delays and disturbances", Frontiers in Neurorobotics, vol. 7, no. Research Topic: Value and Reward Based Learning in Neurobots, 2013.
Alameda-Pineda, X., J. Sanchez-Riera, J. Wienke, V. Franc, J. Cech, K. Kulkarni, A. Deleforge, and R. Horaud, "The Ravel Data Set", ICMI Workshop On Multimodal Corpora for Machine Learning, Alicante, Spain, 11/2011.
Alameda-Pineda, X., J. Sanchez-Riera, J. Wienke, V. Franc, J. Čech, K. Kulkarni, A. Deleforge, and R. Horaud, "RAVEL: an annotated corpus for training robots with audiovisual abilities", Journal on Multimodal User Interfaces, vol. Online First: Springer-Verlag, 2012.
Reinhart, F. R., and J. J. Steil, "Reaching movement generation with a recurrent neural network based on learning inverse kinematics", IEEE Conf. Humanoid Robotics, Paris, IEEE, pp. 323-330, 2009.  Download: ReinhartSteil-Humanoids2009-final.pdf (1.4 MB)
Lebedev, D., J. J. Steil, and H. Ritter, "Real Time Path Planning in Dynamic Environment: a Comparison of Three Neural Network Models", Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, pp. 3408-3413, 2003.
Hammer, B., B. Schrauwen, and J. J. Steil, "Recent advances in efficient learning of recurrent networks", ESANN, Brugge, d-facto , pp. 213-226 , April 2009.  Download: HammerSteilSchrauwenESANN2009Tutorial.pdf (138.96 KB)
Steil, J. J., and H. Wersing, "Recent Trends in Online Learning for Cognitive Robotics", Proc. European Symposium on Artifical Neural Networks: d-side publications, Apr, 2006.
Barchunova, A., and G. Sommer, "Recognition of Simple 3D Geometrical Objects under Partial Occlusion", Computer Analysis of Images and Patterns, vol. 5702: Springer Berlin / Heidelberg, pp. 697-704, 2009.
Emmerich, C., F. R. Reinhart, and J. J. Steil, "Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks", ICANN, pp. 148-153, 2010.  Download: EmmerichReinhartSteil_ICANN2010.pdf (238.02 KB)
Steil, J. J., and H. Ritter, "Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor", Proc. ICANN 99: IEE, pp. 761-766, 1999.
Reinhart, F. R., and J. J. Steil, "Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot", LAB-RS, best paper award, vol. 1, Edinburgh, pp. 35 - 40, 08/2008.  Download: ReinhartSteil2008-RNA.pdf (534.11 KB)
Reinhart, F. R., and J. J. Steil, "Regularization and stability in reservoir networks with output feedback", Neurocomputing, vol. 90, pp. 96-105, 2012.  Download: ReinhartSteil-Neurocomputing2011-preprint.pdf (559.09 KB)
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, vol. 4 , no. 3, pp. p. 230 – 246 , 2012.
Neumann, K., M. Rolf, and J. J. Steil, "Reliable Integration of Continuous Constraints into Extreme Learning Machines", Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Singapur, In Press.
Gieselmann, S., "Remembering interaction episodes: an unsupervised learning approach for a humanoid robot", Humanoids 2010, Nashville/Tennessee, Humanoids 2010, 12/2010.
Gieselmann, S., "Remembering interaction episodes: an unsupervised learning approach for a humanoid robot", Humanoids 2010, Nashville/Tennessee, CoR-Lab, 12/2010.
Reinhart, F. R., A. Lemme, and J. J. Steil, "Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching", 2012 IEEE-RAS International Conference on Humanoid Robots, Osaka, pp. 560 - 567, 2012.
Li, Qiang Li, Q., Q. Zhang, and X. Wang, "Research on Dynamic Simulation of Underwater Vehicle Manipulator Systems", Oceans 2008, 2008.
Li, Qiang Li, Q., "Research on Neural Network Adaptive Control of Underwater Vehicle", Control Theory and Application, vol. No 1, Vol25, 2008.
Qifeng Zhang, yuangui tang, Q. L. A. Z., "Research on Underwater Vehicle-Manipulator Systems", Ocean Techonolgy, vol. No1,Vol26, pp. 10-15, 2007.
Reinhart, F. R., "Reservoir computing with output feedback", Faculty of Technology: Bielefeld University, 2011.
Reinhart, F. R., "Reservoir Computing with Output Feedback - A Dynamical System Approach to Inverse Modeling", KI - Künstliche Intelligenz, vol. 26, no. 4, 2012.
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)

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