Research Institute for Cognition and Robotics

Universität Bielefeld › CoR-Lab

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Publications
Filters: Author is Jochen J Steil  [Clear All Filters]
2008
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)
Steil, J. J., G. Sagerer, H. Ritter, and E. Koerner, "Humans and Humanoids - Perspectives on Research in Cognition and Robotics", KI - Künstliche Intelligenz, no. 4, pp. 33-36, 04/2008.
Pardowitz, M., R. Haschke, J. J. Steil, and H. Ritter, "Gestalt-Based Action Segmentation for Robot Task Learning", IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS), Daejon, Korea, 2008. Abstract  Download: PardowitzEtAlHumanoids2008Draft.pdf (957.58 KB)
Schrauwen, B., M. Wardermann, D. Verstraeten, J. J. Steil, and D. Stroobandt, "Improving reservoirs using intrinsic plasticity", Neurocomputing, vol. 71, no. (7-9), 2008.  Download: SchrauwenSteil2008.pdf (581.59 KB)
Denecke, A., H. Wersing, J. J. Steil, and E. Koerner, "Robust object segmentation by adaptive metrics in Generalized LVQ", Proceedings of the European Symposium on Artificial Neural Networks (ESANN), pp. 319-324, 2008.  Download: DeneckeEtAlESANN2008.pdf (442.91 KB); DeneckeESANN2008Poster.pdf (3.82 MB)
2007
Roethling, F., R. Haschke, J. J. Steil, and H. Ritter, "Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand", Proc. Int. Conf. on Intelligent Robots and Systems (IROS), San Diego, California, USA, IEEE, pp. 2951-2956, Oct, 2007.
Steil, J. J., M. Goetting, H. Wersing, E. Koerner, and H. Ritter, "Adaptive scene dependent filters for segmentation and online learning of visual objects", Neurocomputing, vol. 70(7-9), pp. 1235-1246, 2007.  Download: SteilNeurocomputing2007.pdf (1.39 MB)
Ritter, H., R. Haschke, and J. J. Steil, "A Dual Interaction Perspective for Robot Cognition: Grasping as a “Rosetta Stone”", Perspectives of Neural-Symbolic Integration: Springer, 2007.  Download: RitterSteilHaschkePerspective.pdf (165.05 KB)
Wersing, H., S. Kirstein, M. Goetting, H. Brandl, M. Dunn, I. Mikhailova, C. Goerick, J. J. Steil, H. Ritter, and E. Koerner, "Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture", International Conference in Computer Vision Systems: Bielefeld University, 2007.
Wersing, H., S. Kirstein, M. Goetting, H. Brandl, M. Dunn, I. Mikhailova, C. Goerick, J. J. Steil, H. Ritter, and E. Koerner, "Online Learning of Objects in a Biologically Motivated Visual Architecture", International Journal of Neural Systems, vol. 17, pp. 219-230, 2007.  Download: OnlineLearningObjects_IJNS07.pdf (559.15 KB)
Steil, J. J., "Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning", Neural Networks, vol. 20(3), pp. 353-364, 2007.  Download: SteilNN07.pdf (2.06 MB)
2006
Klanke, S., D. Lebedev, R. Haschke, J. J. Steil, and H. Ritter, "Dynamic Path Planning for a 7-DOF Robot Arm", Proc. IROS 2006: IEEE, pp. 3879-3884, Oct, 2006.
Weng, S., H. Wersing, J. J. Steil, and H. Ritter, "Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions", IEEE Trans. Neural Networks, May, 2006.
Steil, J. J., G. C. Cawley, and F. Rossi, "New Issues in Neurocomputing: 13th European Symposium on Artificial Neural Networks", Neurocomputing, vol. 69, no. 7-9, pp. 625-262, Mar, 2006.
Steil, J. J., "Online stability of backpropagation-decorrelation recurrent learning", Neurocomputing, vol. 69, no. 7-9, pp. 642-650, Mar, 2006.  Download: Steil2006-SOB-draft.pdf (159.81 KB)
Goetting, M., J. J. Steil, H. Wersing, E. Koerner, and H. Ritter, "Adaptive scene-dependent filters in online learning environments.", Proc. Eur. Symposium Artif. Neural Networks ESANN 2006, pp. 101-106, Apr, 2006.
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.
Steil, J. J., R. Koiva, and A. Sperduti, "Unsupervised Clustering of Continuous Trajectories of Kinematic Trees with SOM-SD", Proc. European Symposium on Artificial Neural Networks: d-side publications, Apr, 2006.
Ritter, H., S. Weng, J. Ontrup, and J. J. Steil, "Gestalt Formation in a Competitive Layered Neural Architecture", Networks: From Biology to Theroy: Springer, pp. 169-191, 2006.
Wersing, H., S. Kirstein, M. Goetting, H. Brandl, M. Dunn, I. Mikhailova, C. Goerick, J. J. Steil, H. Ritter, and E. Koerner, "A biologically motivated system for unconstrained online learning of visual objects", Proc. of the Int. Conf. on Artificial Neural Networks (ICANN), 2006.
Weng, S., H. Wersing, J. J. Steil, and H. Ritter, "Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions", IEEE Transactions on Neural Networks, vol. 17, pp. 843-863, 2006.
2005
Steil, J. J., "Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning", LNCS, vol. 3697, pp. 649-654, Sep, 2005.
Steil, J. J., "Stability of backpropagtion-decorrelation efficient O(N) recurrent learning", Proc. ESANN: d-facto publications, pp. 43-48, Apr, 2005.
Schiller, U. D., and J. J. Steil, "Analyzing the weight dynamics of recurrent learning algorithms", Neurocomputing, vol. 63C, pp. 5-23, 2005.
Lebedev, D., J. J. Steil, and H. Ritter, "The dynamic wave expansion neural network model for robot motion planning in time-varying environments", Neural Networks, vol. 18, pp. 267-285, 2005.

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