Christian Goerick, Bram Bolder, Herbert Janßen, Michael Gienger, Hisashi Sugiura, Mark Dunn, Inna Mikhailova, Tobias Rodemann, Heiko Wersing, Stephan Kirstein,
"Towards Incremental Hierarchical Behavior Generation for Humanoids",
IEEE-RAS International Conference on Humanoids 2007, 2007.
Abstract
The contribution of this paper is twofold. First, we present a new conceptual framework for modeling incremental hierarchical behavior control systems for humanoids. The biological motivation and the key elements are discussed. Second, we show our current instance of such a behavior control system, called ALIS. It is designed according to the concepts presented within the framework. The system is integrated with the humanoid ASIMO and comprises v...
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Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff,
"A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation",
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 1288–1295, 2007.
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Rüdiger Kupper, Andreas Knoblauch, Ursula Körner, Edgar Körner, Marc-Oliver Gewaltig,
"Recollection and imagination in a functional model of visual cortex",
Proceedings of the Computational Neuroscience Conference (CNS), pp. S10, 2007.
Abstract
In Kupper et al., Neurocomp. 70(10-12), 1711-1716 (2007), we have presented a model of signal flow in functional cortical columns, across the six cortical layers and between several cortical areas. We showed how the columnar subsystems interact to predict and recognize stimuli in terms of locally stored knowledge. In this model, columnar communication integrated bottom-up signals with internally generated top-down signals to describe the stimulus...
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Andreas Knoblauch, Friedrich Sommer, Marc-Oliver Gewaltig, Rüdiger Kupper, Ursula Körner, Edgar Körner,
"A model for structural plasticity in neocortical associative networks trained by the hippocampus.",
BMC Neuroscience, vol. 8(Suppl 2), pp. S14, 2007.
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Alexander Gepperth, Britta Mersch, Christian Goerick, Jannik Fritsch,
"Color object recognition in real-world scenes",
Artificial Neural Networks, 17th International Conference ICANN, Part II, Springer Verlag, pp. 583-592, 2007.
Abstract
This work investigates the role of color in object recognition. We approach the problem from a computational perspective by measuring the performance of biologically inspired object recognition methods. As benchmarks, we use image datasets proceeding from a real-world object detection scenario and compare classification performance using color and gray-scale versions of the same datasets. In order to make our results as general as possible, we co...
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Volker Willert, Mark Toussaint, Julian Eggert, Edgar Körner,
"Uncertainty Optimization for Robust Dynamic Optical Flow Estimation",
Proceedings of the 2007 International Conference on Machine Learning and Applications (ICMLA), 2007.
Abstract
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of motion information using a dynamic and robust prior that incorporates spatial and temporal coherence constraints on the flow field. The main contribution is the embedding of these particular assumptions on optical flow evolution into the Bayesian propagation approach that...
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Michael Gienger, Bram Bolder, Mark Dunn, Hisashi Sugiura, Herbert Janßen, Christian Goerick,
"Predictive behaviour generation - A sensor-based walking and reaching architecture for humanoid robots",
Autonome Mobile Systeme 2007, issue siebte, pp. 275-281, 2007.
Abstract
This contribution presents a sensor-based walking and reaching architecture for humanoid robots. It enables a humanoid robot to interact with its environment using a smooth whole body motion control driven by stabilized visual targets. Interactive selection mechanisms are used to switch between behavior alternatives for searching or tracking objects as well as different whole body motion strategies for reaching. The decision between different mot...
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Gökhan Ince,
"Noise Reduction During Ego-motion of the Head",
Technische Universität Darmstadt, 2007.
Abstract
An active auditory perception system is very essential for robots to be able to interact with their environment. Tasks like sound localization and speech recognition have to be performed with high accuracy even when the head (or whole robot) is moving. However, the movement of the head inevitably generates noise due to its motors. This problem is very crucial, because the motors are located closer to the microphones than the sound sources. Consid...
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Yaochu Jin, Ruojing Wen, Bernhard Sendhoff,
"Evolutionary multi-objective optimization of spiking neural networks",
Artificial Neeural Networks-ICANN, 17. International Conference, 2007.
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Zdravko Bozakov,
"Unsupervised Component Extraction for Design Optimization using Feature Analysis Methods",
TU Darmstadt, 2007.
Abstract
Evolutionary algorithms offer an approach to alleviate some of the difficulties existing in traditional design optimization techniques. The choice of an appropriate design representation greatly influences the quality of achievable solutions. Representations which encode shapes using deformations applied to an initial design allow the number of optimization parameters to be decoupled from the complexity of the evaluated design. A novel technique ...
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