Eva Gehrmann, Christine Gläßer, Yaochu Jin, Bernhard Sendhoff, Barbara Drossel, Kay Hamacher,
"Robustness of glycolysis in yeast to internal and external noise",
Physical Review E, vol. 84, no. 2, pp. 021913, 2011.
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Gökhan Ince, Kazuhiro Nakadai, Tobias Rodemann, Jun-ichi Imura, Keisuke Nakamura, Hirofumi Nakajima,
"Incremental Learning for Ego Noise Estimation of a Robot",
International Conference on Intelligent Robot and Systems (IROS 2011), 2011.
Abstract
Using pre-recorded templates to estimate and suppress the ego noise of a robot is advantageous because this method is able to cope with the non-stationarity of this particular type of noise. However, standard template-based estimation requires human intervention in the ofine training sessions, storage of large amounts of data and does not adapt to the dynamical changes in the environmental conditions. In this paper we investigate the feasibility ...
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Tobias Kühnl, Franz Kummert, Jannik Fritsch,
"Monocular Road Segmentation using Slow Feature Analysis",
IEEE Intelligent Vehicles Symposium (IV), 2011.
Abstract
In this paper a novel approach for road detection with a monocular camera is introduced. We propose a two step approach, combining a patch-based segmentation with additional boundary detection. We use Slow Feature Analysis (SFA) which leads to improved appearance descriptors for road and non-road parts on patch level. From the slow features a low order feature set is formed which is used together with color and Walsh Hadamard texture features to ...
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Michael Ortiz, Jens Schmüdderich, Franz Kummert, Alexander Gepperth,
"Situation specific learning for an ego-vehicle behavior prediction scenario",
IEEE Intelligent Transportation Systems Conference (ITSC), pp. 1237 - 1242, 2011.
Abstract
We present a system able to predict the future behavior of the ego-vehicle in an inner-city environment. Our system learns the mapping between the current perceived scene (information about the ego-vehicle and the preceding vehicle, as well as information about the possible traffic lights) and the future driving behavior of the ego-vehicle. We improve the prediction accuracy by estimating the prediction confidence and by discarding unconfident sa...
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Andreas Knoblauch,
"Neural associative memory with optimal Bayesian learning.",
Neural Computation, vol. 23, no. 6, pp. 1393–1451, 2011.
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Manuel Mühlig,
"A Whole Systems Approach to Robot Imitation Learning of Object Movement Skills",
Bielefeld University, 2011.
Abstract
Imitation learning has become a popular paradigm to extend the abilities of robots by demonstrating new skills. Many methods have been proposed that allow a robot to detect such demonstrations and to learn from them. However, there is a significant drawback with state-of-the-art imitation learning approaches. Most of them consider imitation learning of object movement skills as an isolated, data-driven method for learning object trajectories. The...
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Benjamin Dittes,
"Formal System Design for Intelligent Artifacts",
Technische Fakultaet, Universitaet Bielefeld, 2011.
Abstract
This work deals with conceptual and software aspects (i.e. algorithms and structure) of intelligent systems interacting with the real-world. Typical domains for such systems are robotics as well as personal digital- and driver assistance. In decades of research on intelligent systems, a large number of system structures or architectures for intelligent artifacts have been proposed and implemented. However, no established and broadly accepted hypo...
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Martin Heckmann and Kazuhiro Nakadai,
"Robust intonation pattern classification in human robot interaction",
Proc. INTERSPEECH, 2011.
Abstract
We present a system for the classification of intonation patterns in human robot interaction. The system distinguishes questions from other types of utterances and can deal with additional reverberations, background noise, as well as music interfering with the speech signal. The main building blocks of our system are a multi channel source separation, robust fundamental frequency extraction and tracking, segmentation of the speech signal, and cla...
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Lisa Schramm, Yaochu Jin, Bernhard Sendhoff,
"Redundancy Creates Opportunity in Developmental Representations",
IEEE Symposium on Artificial Life, 2011.
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Gökhan Ince, Kazuhiro Nakadai, Tobias Rodemann, Hiroshi Tsujino, Jun-ichi Imura,
"Ego-motion Noise Cancellation of a Robot using Missing Feature Masks",
Applied Intelligence, vol. 34, no. 3, pp. 360-371, 2011.
Abstract
This paper describes an architecture that enhances a robot with the capability of performing au- tomatic speech recognition by cancelling the ego noise, even while the robot is moving. The system consists of three blocks: (1) a multi-channel noise reduction block comprising consequent stages of microphone-array-based sound localization, geometric source separation and post- ltering, (2) a single-channel noise reduction block uti- lizing template ...
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