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Ingo Paenke, Yaochu Jin, Jürgen Branke, "Balancing population and individual level adaptation in changing environments", Adaptive Behavior, vol. 17, no. 2, pp. 153–174, 2009.
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Kenji Hosada, Masataka Watanabe, Heiko Wersing, Edgar Körner, Hiroshi Tsujino, Hiroshi Tamura, Ichiro Fujita, "A model for learning topographically organized parts-based representations of objects in visual cortex: topographic non-negative matrix factorization", Neural Computation, vol. 21, no. 9, pp. 2605-2633, 2009.
AbstractObject representation in the inferior temporal cortex (IT), an area of visual cortex critical for object recognition in the primate, exhibits two prominent properties; (1) objects are represented by the combined activity of columnar clusters of neurons, each cluster represents component features or parts of objects, and (2) closely related features are continuously represented along the tangential direction of individual columnar clusters. Here w...
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Chen Zhang, Julian Eggert, Nils Einecke, "Robust Tracking by Means of Template Adaptation with Drift Correction", Proceedings of the 7th International Conference on Computer Vision Systems (ICVS), 2009.
AbstractAlgorithms for correlation-based visual tracking rely to a great extent on a robust measurement of an object’s location, gained by comparing a template with the visual input. Robustness against object appearance transformations requires template adaptation - a technique that is subject to drift problems due to error integration. Most solutions to this “drift-problem” fall back on a dominant template that remains unmodified, preventing a tru...
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Tobias Rodemann, Frank Joublin, Christian Goerick, "Filtering environmental sounds using basic audio cues in robot audition", Proceedings of International Conference on Advanced Robotics (ICAR) 2009, 2009.
AbstractIn this article we present an approach for separating robot-directed speech from environmental sounds for applications in robot audition under high noise conditions. We introduce a new framework for audio processing that combines feature extraction and a grouping process to form what we call audio proto objects. These proto objects combine an arbitrary number of audio features in a compact representation that allows a filtering of environmental s...
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Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Groß, "Experimental evaluation of approaches for long-term prediction of human movement trajectories", Australian Journal of Intelligent Information Processing Systems, 2009.
AbstractThis paper’s intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robot-Interaction (HRI). The idea is to predict movement data by understanding it as time series. The prediction takes place with a black box model, which means that no further knowledge on motion dynamics is used then the past of the trajectory itself. This means, the suggest...
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Lars Gräning, Markus Olhofer, Bernhard Sendhoff, "Interaction Detection in Aerodynamic Design Data", Proceedings of the [10th] International Conference on Intelligent Data Egineering and Automated Learning (IDEAL), 2009.
AbstractIn large and complex aerodynamic systems the overall performance of a design is mainly defined by interactions between design areas rather than by single design regions. Therefore it is necessary to identify these interactions in order to be able to understand and improve the designs. However, detecting and modeling those interactive effects between distant design areas is a very challenging task which usually requires a detailed understanding of...
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Katrin Lohan, Anna-Lisa Vollmer, Jannik Fritsch, Katharina Rohlfing, Britta Wrede, "Which ostensive stimuli can be used for a robot to detect and maintain tutoring situations?", Int. Workshop on Social Signals Processing, 2009.
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Yongkie Wiyogo, "Processing of sensory stimuli with recurrent neural networks", TU Darmstadt, 2009.
AbstractRecurrent neural networks, one of many neural network concepts, are used in our work to process sensory stimuli received by an intelligent car. The hypothesis underlying this thesis is that the intrinsic properties of recurrent neural networks can be exploited in order to achieve a robust and error-free environment perception. By using dynamic neural fields, a subclass of recurrent neural networks, we can perform information processing of the aut...
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Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar, "A Novel Method for Learning Policies from Constrained Motion", International Conference on Robotics and Automation (ICRA), 2009.
AbstractMany everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently change between contexts. In this paper, we present a novel approach for learning (unconstrained) control policies from movement data, where observations come from movements under different constraints. As a key ingredient, we introduce a small but highly effective modifica...
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Stefan Menzel, "Topographic Arrangement of 3D Design Components on 2D Maps by Unsupervised Feature Extraction", Proceedings of World Academy of Science, Engineering and Technology, issue Volume 55, pp. 74–81, 2009.
AbstractAs a result of the daily workflow in the design development departments of companies, databases containing huge numbers of 3D geometric models are generated. According to the given problem engineers create CAD drawings based on their design ideas and evaluate the performance of the resulting design, e.g. by computational simulations. Usually, new geometries are built either by utilizing and modifying sets of existing components or by adding singl...
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