Research Institute for Cognition and Robotics

Universität Bielefeld › CoR-Lab

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Publications
Filters: Author is Helge Ritter  [Clear All Filters]
Book
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.
Book Chapter
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., 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, "Trying to Grasp a Sketch of a Brain for Grasping", Creating Brain-Like Intelligence, vol. 5436: Springer, pp. 84-102, 2009.
Conference Paper
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.
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.
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.
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.
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.
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.
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.
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.
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.
Inden, B., Y. Jin, R. Haschke, and H. Ritter, "NEATfields: Evolution of neural fields", Genetic and Evolutionary Computation Conference, 2010.
Lebedev, D., J. J. Steil, and H. Ritter, "A Neural Network Model that Calculates Dynamic Distance Transform for Path Planning and Exploration in a Changing Environment", In Proc. IEEE Int. Conf. on Robotics and Automation (ICRA2003), Taipei (to appear), pp. 4209-4214, 2003.
Lebedev, D. V., J. J. Steil, and H. Ritter, "A New Wave Neural Network Dynamics for Planning Safe Paths of Autonomous Objects in a Dynamically Changing World", Advances in Neural Networks World: WSEAS Press, pp. 141-146, 2002.
Lebedev, D., J. J. Steil, and H. Ritter, "An on-line neural network-based approach to dynamic path planning and coordination of two robot arms", Proc. IROS, 2005.
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.
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.
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.
Haschke, R., J. J. Steil, I. Steuwer, and H. Ritter, "Task-Oriented Quality Measures for Dextrous Grasping", Proc. Conference on Computational Intelligence in Robotics and Automation, Espoo, IEEE, 2005.
Finke, A., Y. Jin, and H. Ritter, "{A} {P}300-{B}ased {B}rain-{R}obot {I}nterface for {S}haping {H}uman-{R}obot {I}nteraction", Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience, 2009.

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