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Honglian Guo, Yan Meng, Yaochu Jin , "Self-adaptive multi-robot construction using gene regulatory networks", IEEE Symposium on Artificial Life (IEEE ALIFE 2009), pp. 53–60, 2009.
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Sven Rebhan, Andreas Richter, Julian Eggert , "Demand-Driven Visual Information Acquisition", Proceedings of the 7th International Conference on Computer Vision Systems (ICVS), pp. 124–133, 2009.
AbstractFast, reliable and demand-driven acquisition of visual information is the key to represent visual scenes efficiently. To achieve this efficiency, a cognitive vision system must plan the utilization of its processing resources to acquire only information relevant for the task. Here, the incorporation of long-term knowledge plays a major role on deciding which information to gather. In this paper, we present a first approach to make use of the know...
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Martin Ernst Heckmann, Holger Brandl, Jens Schmüdderich, Xavier Domont, Bram Bolder, Inna Mikhailova, Herbert Janßen, Michael Gienger, Achim Bendig, Tobias Rodemann, Mark Dunn, Frank Joublin, Christian Goerick , "Teaching a Humanoid Robot: Headset-Free Speech Interaction for Audio-Visual Association Learning", Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2009.
AbstractBased on inspirations from infant development we present a system which learns associations between acoustic labels and visual representations in interaction with its tutor. The system is integrated with a humanoid robot. Except for a few trigger phrases to start learning all acoustical representations are learned online and in interaction. Similar, for the visual domain the clusters are not predefined and fully learned online. In contrast to oth...
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Volker Willert and Julian Eggert , "A Stochastic Dynamical System for Optical Flow Estimation", IEEE International Conference on Computer Vision (ICCV), 4th International Workshop on Dynamical Vision, 2009.
AbstractSo far, the research on optical flow has mainly concentrated on motion estimations using the observation of a small number of temporal consecutive frames of an image sequence. The dynamics of the flow field evolution is mostly neglected. Our main concern is to stress that visual motion is a dynamic feature of an image input stream and the more visual data has been observed the more precise and detailed we can estimate and predict the motion conta...
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Andreas Knoblauch , "Structural plasticity, cortical memory, and the spacing effect.", BMC Neuroscience, vol. 10(Suppl 1), pp. O16, 2009.
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Christine Becker , "Analysis and modeling of the glycolysis of Saccharomyces Cerevisiae", TU Darmstadt, 2009.
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Manuel Mühlig, Michael Gienger, Sven Hellbach, Jochen Steil, Christian Goerick , "Task-level Imitation Learning using Variance-based Movement Optimization", International Conference on Robotics and Automation (ICRA), 2009.
AbstractRecent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to program these tasks manually. Furthermore, humanoid robots, in contrast to industrial robots, should in the distant future behave within a social environment. Therefore, it must be possible to extend the robot’s abilities in an easy and natural way. To address these requireme...
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Aimin Zhou, Qingfu Zhang, Yaochu Jin , "Approximating the set of Pareto optimal solutions in both the decision and objective spaces by an estimation of distribution algorithm", IEEE Transactions on Evolutionary Computation, 2009.
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Jens Trommler , "Evolvability in Evolutionary Developmental Systems", Technische Universität Darmstadt, 2009.
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Thomas Michalke, Robert Kastner, Jannik Fritsch, Christian Goerick , "Towards a Proactive Biologically-inspired Advanced Driver Assistance System", IEEE Intelligent Vehicles Symposium (IV), 2009.
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