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Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward Tsang, "Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion", Congress on Evolutionary Computation, pp. 3234–3240, 2006.



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Tobias Rodemann, Frank Joublin, Christian Goerick, "Continuous and robust saccade adaptation in a real-world environment", KI-Künstliche Intelligenz, vol. 03, pp. 23–26, 2006.

Abstract

To saccade with a camera system to an interesting visual stimulus requires a mapping from image coordinates (pixel positions) to motor coordinates (e.g. pan and tilt angles). Because this relation can depend on many parameters, some of which might be varying over time, it is advisable to learn this mapping. However, most of the existing solutions require a special calibration procedure or at least a cooperating environment. In this work we descri...



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Antonello Ceravola, Frank Joublin, Mark Dunn, Julian Eggert, Christian Goerick, "Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems", Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.

Abstract

In the field of intelligent systems, research and design approaches vary from predefined architectures to self-organizing systems. Regardless of the architectural approach, such systems may grow in size and complexity to levels where the capacities of people are strongly challenged. Such systems are commonly researched, designed and developed following several methods and with the help of a variety of software tools. In this paper we want to desc...



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Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, "Trusted Evolutionary Algorithm", Congress on Evolutionary Computation, pp. 456–463, 2006.



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Ingo Paenke, Tadeusz Kawecki, Bernhard Sendhoff, "On the influence of lifetime learning on the selection pressure", Proceedings of the ALife X: The Tenth International Conference on the Simulation and Synthesis of Living Systems, pp. 500-506, 2006.



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Martin Heckmann, Tobias Rodemann, Björn Schölling, Frank Joublin, Christian Goerick, "Modeling the Precedence Effect for Binaural Sound Source Localization in Noisy and Echoic Environments", Proceedings of Interspeech, pp. 2598-2601, 2006.

Abstract

We present a new way of modelling the Precedence Effect to enable the robust measurement of localization cues (ITD and IID) in echoic environments. Based on this we developed a localization system which is inspired by the auditory system of mammals. It uses a Gammatone filter bank for preprocessing and extracts the ITD cue via zero crossings (IID calculation is straight forward). The mapping between the cue values and the different angles is lear...



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Martin Heckmann, Tobias Rodemann, Frank Joublin, Christian Goerick, Björn Schölling, "Auditory Inspired Binaural Robust Sound Source Localization in Echoic and Noisy Environments", Proceedings of the IEEE/RSJ International Conference on Robots and Intelligent Systems (IROS), pp. 368-373, 2006.

Abstract

We propose a new approach for binaural sound source localization in real world environments implementing a new model of the precedence effect. This enables the robust measurement of the localization cue values (ITD, IID and IED) in echoic environments. The system is inspired by the auditory system of mammals. It uses a Gammatone filter bank for preprocessing and extracts the ITD and IED cues via zero crossings (IID calculation is straight forward...



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Stefan Menzel, Markus Olhofer, Bernhard Sendhoff, "Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation", International Conference on Parallel Problem Solving From Nature (PPSN), pp. 352-361, 2006.



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Sebastian Weng, Heiko Wersing, Jochen Steil, Helge Ritter, "Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Functions", IEEE Transactions Neural Networks, vol. 17, no. 4, pp. 843–862, 2006.



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Hisashi Sugiura, Michael Gienger, Herbert Janßen, Christian Goerick, "Real-Time Self Collision Avoidance for Humanoids by means of Nullspace Criteria and Task Intervals", Proceedings of the IEEE-RAS International Conference on Humanoid Robots, 2006.

Abstract

We describe a new method for real-time collision avoidance for humanoid robots.Instead of explicitly modifying the commands, our method influences the control system by means of a nullspace criteria and a task interval. The nullspace criteria is driven by a virtual force acting on a joint center vector that defines the minimum of a potential function in joint space. The task interval defines the target constraints in task coordinates and allows t...



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