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Antonello Ceravola and Christian Goerick , "Researching and developing a real-time infrastructure for intelligent systems – Evolution of an integrated approach", Robotics and Autonomous Systems, vol. 56, no. 31, pp. 14–28, 2008.
AbstractIn this paper, we describe the principles and the methodologies that we have researched for the creation of a software infrastructure for bridging the gap from brain-like systems design to standard software technology. Looking at the brain, we constantly take inspiration and choose the relevant principles that our computer-base model should/could be based on. This ranges from the evolution of the brain (phylogenetically and ontogenetically), t...
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Behzad Dariush, Michael Gienger, Bing Jian, Christian Goerick, Kikuo Fujimura , "Whole Body Humanoid Control From Human Motion Descriptors", Proceedings of the International Conference on Robotics and Automation (ICRA), pp. 2677-2684, 2008.
AbstractMany advanced motion control strategies developed in robotics use captured human motion data as valuable source of examples to simplify the process of programming or learning complex robot motions. Direct and online control of robots from observed human motion has several inherent challenges. The most important may be the representation of the large number of mechanical degrees of freedom involved in the execution of movement tasks. Attempting to...
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Moritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, Markus Diesmann , "Structural plasticity controlled by calcium based correlation detection", Front. Comput. Neurosci., vol. 2, no. 7, 2008.
AbstractHebbian learning in cortical networks during development and adulthood relies on the presence of a mechanism to detect correlation between the presynaptic and the postsynaptic spiking activity. Recently, the calcium concentration in spines was experimentally shown to be a correlation sensitive signal with the necessary properties: it is confined to the spine volume, it depends on the relative timing of pre- and postsynaptic action potentials, and...
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Yi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff , "Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks", International Joint Conference on Neural Networks, pp. pp.529-534, 2008.
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Michael Gienger, Christian Goerick, Edgar Körner , "Whole body motion planning - elements for intelligent systems design", Zeitschrift Künstliche Intelligenz, vol. 4, pp. 10-15, 2008.
AbstractHumanoid robots become increasingly sophisticated, both in terms of their movement as well as their sensorial capabilities. This allows to target for more complicated problems, eventually leading to robotic systems that can perform useful tasks in every days environment. In this paper, we will give an overview on some elements we consider to be important for a movement control and planning architecture. We will first explain the whole body contro...
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Thomas Michalke, Robert Kastner, Jannik Fritsch, Christian Goerick , "A Generic Temporal Integration Approach for Enhancing Feature-based Road-Detection Systems", Intelligent Transportation Systems Conference, 2008.
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Aimin Zhou , "Estimation of Distribution Algorithms for Continuous Multiobjective Optimization", University of Essex, 2008.
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Thomas Michalke, Jannik Fritsch, Christian Goerick , "Enhancing Robustness of a Saliency-based Attention System for Driver Assistance", The 6th International Conference on Computer Vision Systems (ICVS), 2008.
AbstractBiologically motivated attention systems prefilter the visual environment for scene elements that pop out most or match the current system task best. However, the robustness of biological attention systems is difficult to achieve, given e.g., the high variability of scene content, changes in illumination, and scene dynamics. Most computational attention models do not show real time capability or are tested in a controlled indoor environment only....
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Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff , "Combination of EDA and DE for Continuous Bi-objective Optimization", Congress on Evolutionary Computation, pp. pp.1447-1454, 2008.
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Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar , "Learning potential-based policies from constrained motions", International Conference on Humanoid Robots, 2008.
AbstractWe present a method for learning potential-based policies from constrained motion data. In contrast to previous approaches to direct policy learning, our method can combine observations from a variety of contexts where different constraints are in force, to learn the underlying unconstrained policy in form of its potential function. This allows us to generalise and predict behaviour where novel constraints apply. As a key ingredient, we first cre...
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