Search our Publications

Latest Publications

Michael Gienger, Christian Goerick, Edgar Körner , "Movement control in biologically plausible frames of reference", ISR / Robotik 2010, 2010.

Abstract

Biological findings suggest that human movement is encoded in a variety of action-oriented reference frames. In contrast, robotics movement control is mostly formulated in traditional frames of reference, such as the world frame, or a robotfixed base frame. In this contribution, we will investigate these biological findings and propose a movement control formulation for redundant robots that are equipped with one or several effectors. We will sho...



Download Bibtex file Download PDF

Stephan Kirstein, Heiko Wersing, Edgar Körner , "Towards autonomous bootstrapping for life-long learning categorization tasks", Proceedings International Joint Conference on Neural Networks, 2010.



Download Bibtex file Download PDF

Till Steiner , "Articial Evolutionary Development", Thesis of the University Bielefeld, University Bielefeld, 2010.

Abstract

This thesis is situated in the field of Artificial Development coupled to evolutionary computation. I discuss the problem of finding a suitable abstraction level for the developmental process in engineering design. Here, suitable refers to the capability to produce non-trivial artifacts, while keeping the developmental process and its formation comprehensible. Throughout this thesis, I distinguish between two components of development: The first ...



Download Bibtex file Per Mail Request

Volker Willert and Julian Eggert , "Adaptive Velocity Tuning for Visual Motion Estimation", European Symposium on Artificial Neural Networks (ESANN), 2010.

Abstract

In the brain, both neural processing dynamics as well as the perceptual interpretation of a stimulus can depend on sensory history. The underlying principle is a sensory adaptation to the statistics of the input collected over a certain amount of time, allowing the system to tune its detectors, e.g. by improving the sampling of the input space. Here we show how a generative formulation for the problem of visual motion estimation leads to an onlin...



Download Bibtex file Download PDF

Irene Ayllón Clemente, Martin Ernst Heckmann, Gerhard Sagerer, Frank Joublin , "Multiple Sequence Alignment Based Bootstrapping for Improved Incremental Word Learning", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010.

Abstract

We investigate incremental word learning with few training exam- ples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowledge. When using only a few training examples the initialization of the models is a cru- cial step. In the bootstrapping approach proposed, an unsupervised initialization of the parameters is performed, followed by the retrain- ing and construction of a new HMM using mu...



Download Bibtex file Download PDF

Thomas H Weisswange, Constantin Rothkopf, Tobias Rodemann, Jochen Triesch , "Model averaging as a developmental outcome of reinforcement learning", 2010.

Abstract

To make sense of the world, humans have to rely on the information that they receive from their sensory systems. Due to noise on one side and redundancies on the other side, it is possible to improve estimates of the signal's causes by integrating over multiple sensors. In recent years it has been shown that humans do so in a way that can be matched by optimal Bayesian models (e.g. [1]). Such an integration is only beneficial for signals originat...



Download Bibtex file Download PDF

Yaochu Jin and Jens Trommler , "A Fitness-Independent Evolvability Measure for Evolutionary Developmental Systems", Computational Intelligence in Bioinformatics and Computational Biology, 2010.



Download Bibtex file Download PDF

Martin Ernst Heckmann, Holger Brandl, Xavier Domont, Bram Bolder, Frank Joublin, Christian Goerick , "An Audio-Visual Attention System for Online Association Learning", INTERSPEECH, 2009.

Abstract

We present an audio-visual attention system for speech based interaction with a humanoid robot where a tutor can teach visual properties/locations (e.g "left") and corresponding, arbitrary speech labels. The acoustic signal is segmented via the attention system and speech labels are learned from a few repetitions of the label by the tutor. The attention system integrates bottom-up stimulus driven saliency calculation (delay-and-sum beamforming, a...



Download Bibtex file Download PDF

Toyotaka Sonoda, Martina Hasenjäger, Toshiyuki Arima, Bernhard Sendhoff , "Effect of endwall contouring on performance of ultra-low aspect ratio transonic turbine inlet guide vanes", Journal of Turbomachinery, vol. 131, no. 1, pp. 011020, 2009.

Abstract

In our previous work on ultralow-aspect ratio transonic turbine inlet guide vanes (IGVs) for a small turbofan engine (Hasenjäger et al., 2005, "Three Dimensional Aerodynamic Optimization for an Ultra-Low Aspect Ratio Transonic Turbine Stator Blade," ASME Paper No. GT2005-68680), we used numerical stochastic design optimization to propose the new design concept of an extremely aft-loaded airfoil to improve the difficult-to-control aerodynamic loss...



Download Bibtex file Download PDF

Till Steiner, Yaochu Jin, Bernhard Sendhoff , "Vector Field Embryogeny", PLoS ONE, vol. 4, no. 12, 2009.



Download Bibtex file Download PDF

1 ... 131 132 133 134 135 136 ... 181

Search

Cookies preferences

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

Necessary

Necessary
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.