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Jens Schmüdderich, Robert Kastner, Stephan Hasler, Nils Einecke, Alexander Gepperth, Bram Bolder, Heiko Wersing, Julian Eggert, Jannik Fritsch, Christian Goerick , "System Approach for Multi-Purpose Representations of Traffic Scene Elements", IEEE 13th Int. Conf. ITSC, pp. 1677-1684, 2010.



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Christian Goerick and Edgar Körner , "Cognitive Humanoid Robotics: Steps toward Learning and Behavior Organization", Automatisierungstechnik, pp. 639–646, 2010.

Abstract

In diesem Beitrag geben wir einen Überblick über unsere Forschungsarbeiten auf dem Gebiet der humanoiden Robotik mit dem Schwerpunkt auf kognitiven Systemen. Insbesondere betrachten wir eine Serie von Systemen, die wir gemäß unseres hierarchischen inkrementellen Systemansatzes erforscht, realisiert und analysiert haben....



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Michael Gienger, Manuel Mühlig, Jochen Steil , "Imitating Object Movement Skills with Robots – A Task-Level Approach Exploiting Generalization and Invariance", Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2010.



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Mathias Rudolph, Manuel Mühlig, Michael Gienger, Hans-Joachim Böhme , "Learning the Consequences of Actions: Representing Effects as Feature Changes", Proceedings of the International Symposium on Learning and Adaptive Behavior in Robotic Systems, 2010.



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Jonathan Maycock, Daniel Dornbusch, Christof Elbrechter, Robert Haschke, Thomas Schack, Helge Ritter , "Approaching Manual Intelligence", Kuenstliche Intelligenz, vol. 24, no. 4, pp. 287-294, 2010.



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Nils Einecke, Sven Rebhan, Volker Willert, Julian Eggert , "Direct Surface Fitting", Proceedings of VISAPP 2010 International Conference on Computer Vision Theory and Applications, pp. 125–133, 2010.

Abstract

In this paper, we propose a new method for estimating the shape of a surface from visual input. Assuming a parametric model of a surface, the parameters best explaining the perspective changes of the surface between different views are estimated. This is in contrast to the usual approach of fitting a model into a 3-D point cloud, generated by some previously calculated local correspondence matching method. The main ingredients of our approach are...



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Andreas Alin , "Task-Specific Environment Rrepresentations for Driving Behavior Generation", Universität Würzburg, 2010.

Abstract

The goal of this diploma thesis is to develop a metric representation of the environment, which illustrates the free area in front of a vehicle. This can be part of an advanced driver assistance system developed at the Honda Research Institute in O ffenbach. The representation is based on the brain-inspired theory of population codes. Probabilities of object presence are processed like activities, which are propagated through the representation i...



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Matthias Rolf, Jochen Steil, Michael Gienger , "Bootstrapping inverse Kinematics with Goal Babbling", Proceedings of the International Conference on Development and Learning, 2010.

Abstract

We present an approach to learn inverse kinematics of redundant systems without prior- or expert-knowledge. The method allows for an iterative bootstrapping and refinement of the inverse kinematics estimate. We show that the information structure induced by goal-directed exploration enables an efficient resolution of inconsistent samples solely from observable data. The bootstrapped solutions are aligned for a maximum of movement efficiency, i.e....



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Irene Ayllón Clemente, Martin Ernst Heckmann, Alexander Denecke, Britta Wrede, Christian Goerick , "Incremental Word Learning Using Large Margin Discriminative Training and Variance Floor Estimation", Proceedings of the INTERSPEECH, 2010.



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Claudius Gläser, Martin Ernst Heckmann, Frank Joublin, Christian Goerick , "Robust Formant Tracking in Echoic and Noisy Environments", Proceedings of the 9th ITG Conference on Speech Communication, 2010.



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