Research Institute for Cognition and Robotics

Universität Bielefeld › CoR-Lab

Supported by

Honda

 

HRI

 

NRW

Publications
Filters: Author is Helge Ritter  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
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)
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.
Fink, G. A., J. Fritsch, N. Lessmann, H. Ritter, G. Sagerer, J. J. Steil, and I. Wachsmuth, "Architekturen situierter Kommunikatoren: Von Perception über Kognition zum Lernen", Informatik 2003, Innovative Informatikanwendungen,Beiträge der 33. Jahrestagung der Gesellschaft für Informatik e.V.: Gesellschaft für Informatik, 2003.
B
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.
C
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.
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)
Haschke, R., J. J. Steil, and H. Ritter, "Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs", Proc. of the Int. Conf. on Artificial Neural Networks (ICANN), Wien, Austria, 2001.
D
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)
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.
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.
G
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.
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)
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.
H
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.
I
Barchunova, A., M. Franzius, M. Pardowitz, and H. Ritter, "Identification of High-Level Object Manipulation Operations from Multimodal Input", IASTED International Conferences on Automation, Control, and Information Technology, 2010.
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.
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.
L
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.
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.
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.
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.
M
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.
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.
McGuire, P., J. Fritsch, H. Ritter, J. J. Steil, F. Roethling, G. A. Fink, S. Wachsmuth, and G. Sagerer, "Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks", Proc. IROS: IEEE, pp. 1082-1089, 2002.
N
Inden, B., Y. Jin, R. Haschke, and H. Ritter, "NEATfields: Evolution of neural fields", Genetic and Evolutionary Computation Conference, 2010.

Upcoming Events

Go to ...

Login

Contact  |  Imprint

© 2011 Universität Bielefeld