Research Institute for Cognition and Robotics

Universität Bielefeld › CoR-Lab

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Publications
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Grahl, M., F. Joublin, and F. Kummert, "A method for visual model learning during tracking", Australian Journal of Intelligent Information Systems (AJIIPS), vol. 11, 11/2010.
Grahl, M., F. Joublin, and F. Kummert, "A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues", Artificial Neural Networks - ICANN 2010, vol. 6353: Springer, pp. 492-497, 2010.
Golombek, R., S. Wrede, M. Hanheide, and M. Heckmann, "A Method for learning a Fault Detection Model from Component Communication Data in Robotic Systems", Seventh IARP Workshop on Technical Challenges for Dependable Robots in Human Environments, Toulouse, France, 2010.
Golombek, R., S. Wrede, M. Hanheide, and M. Heckmann, "Online Data-Driven Fault Detection for Robotic Systems", IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, USA, 2011. Abstract
Golombek, R., S. Wrede, M. Hanheide, and M. Heckmann, "Learning a Probabilistic Error Detection Model for Robotic Systems", IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 10/2010. Abstract
Golombek, R., S. Wrede, and M. Hanheide, A Probabilistic Model for Self-Awareness in an Event-Based Intelligent System, , Bielefeld, Research Institute for Cognition and Robotics, 2009.  Download: TR-ICAC09-APM.pdf (235.04 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.
Gieselmann, S., "Remembering interaction episodes: an unsupervised learning approach for a humanoid robot", Humanoids 2010, Nashville/Tennessee, Humanoids 2010, 12/2010.
Gieselmann, S., Social Background Behavior(SBB) for anthropomorphic robots, , Boston, USA, HUROBINT@MIT, 2009. Abstract
Gieselmann, S., "Remembering interaction episodes: an unsupervised learning approach for a humanoid robot", Humanoids 2010, Nashville/Tennessee, CoR-Lab, 12/2010.
Gienger, M., M. Muehlig, and J. J. Steil, "Robot with automatic selection of task-specific representations for imitation learning", European Patent Office, G05B19/42, 2011.
Gienger, M., M. Muehlig, and J. J. Steil, "A Task-Level Control Approach for Human-Robot Interaction - Exploiting Generalization and Invariance", IEEE Conf. Intelligent Robotic Systems, Taipeh, IEEE, pp. 1262-1269, 10/2010.  Download: GiengerMuehligSteil_IROS2010draft.pdf (1018.22 KB)

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