Research Institute for Cognition and Robotics

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Filters: Author is Helge Ritter  [Clear All Filters]
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Wersing, H., J. J. Steil, and H. Ritter, "A Layered Recurrent Neural Network for Feature Grouping", ICANN97, 7th Int. Conf. on Artificial Neural Networks, Lausanne, Switzerland, pp. 439-444, Oct, 1997.
Wersing, H., J. J. Steil, and H. Ritter, "A Competitive Layer Model for Feature Binding and Sensory Segmentation", Neural Computation, vol. 13, no. 2, pp. 357-387, 2001.  Download: WersingSteilRitter2001-ACL_draft.pdf (2.11 MB)
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.
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)
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.
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.
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Steil, J. J., and H. Ritter, "Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation", Proc. of ESANN 99, pp. 369-374, 1999.
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.
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.
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)
Steil, J. J., F. Roethling, R. Haschke, and H. Ritter, "Situated robot learning for multi-modal instruction and imitation of grasping", Robotics and Autonomous Systems, vol. Special Is, no. 47, pp. 129-141, 2004.
Steil, J. J., and H. Ritter, "Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria", NC98 Proceedings of the International ICSC/IFAC Symposium on Neural Computation, Vienna University of Technology, Austria: ICSC Academic Press, International Computer Science Conventions, Canada/Switzerland, pp. 519-525, Sep, 1998.
Steil, J. J., G. Heidemann, J. Jockusch, R. Rae, N. Jungclaus, and H. Ritter, "Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture", Proc. IROS 2001: IEEE, pp. 1570-1577, 2001.
Steil, J. J., F. Roethling, R. Haschke, and H. Ritter, "Learning issues in a multi-modal robot-instruction scenario", Proc. IROS, vol. Workshop o, Oct, 2003.
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.
Steffen, J., M. Pardowitz, J. J. Steil, and H. Ritter, "Neural competition for motion segmentation", ESANN, Bruges, d-facto, pp. 59-64, April 2010.  Download: SteffenESANN2010draft.pdf (391.32 KB)
Schack, T., and H. Ritter, "The Cognitive Nature of Action Functional Links between Cognitive Psychology, Movement Science and Robotics", Progress in Brain Research: Elsevier, pp. in press, 2008.
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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.
Ritter, H., R. Haschke, and J. J. Steil, "Trying to Grasp a Sketch of a Brain for Grasping", Creating Brain-Like Intelligence, vol. 5436: Springer, pp. 84-102, 2009.
Ritter, H., J. J. Steil, and G. Sagerer, "Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter", Automatisierungstechnik, special issue on "humnoid robotics", pp. 630 - 638, 11/2010.
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.
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)
Ritter, H., J. J. Steil, C. Noelker, F. Roethling, and P. McGuire, "Neural Architectures for Robotic Intelligence", Reviews in the Neurosciences, vol. 14, no. 1-2, pp. 121-143, 2003.
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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)

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