Biblio
Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
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2005. Neural Dynamics for Task-Oriented Grouping of Communicating Agents. Proc. European Symposium Artificial Neural Networks. :531–536.
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2004. Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. 94:107–127.
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2013. Robots in the digitalized workplace. The Wiley Blackwell Handbook of the Psychology of the Internet at Work. :403-422.
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2017. Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.
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1999. Backpropagation-Decorrelation: online recurrent learning with O(N) complexity. Proc. Int. Joint Conference Neural Networks. 1:843–848.
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2004. Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
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2000. What do humanoid robots offer to experimental psychology ? Connectionist models of neurocognition and emergent behavior : from theory to applications ; proceedings of the 12th Neural Computation and Psychology Workshop, Birkbeck, University of London, 8 - 10 April 2010. 20:361–371.
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2011. Online stability of backpropagation-decorrelation recurrent learning. Neurocomputing. 69:642–650.
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2006. Input-Output Stability of Recurrent Neural Networks with Delays using Circle Criteria. Proc. Int. ICSC/IFAC Symposium on Neural Computation. :519–525.
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1998. Situated robot learning for multi-modal instruction and imitation of grasping. Robotics and Autonomous Systems. 47:129–141.
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2004. Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
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2013. Robust control in closed loops realised by fast signal transmission of infinite gain neurons. Proc. Int. Conf. Artificial Neural Networks. 1:260–266.
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2000. Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
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2011. Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
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2010. Three-Dimensional Range Acquisition of Line-Like Objects. Proceedings of the 3rd International Conference of Image Processingand its Applications University of Warwick, UK. :14-18.
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1989. Ein aktives 3D-Robotersensorensystem auf der Grundlage eines verallgemeinerten Ansatzes zur Erstellung modellbasierter Objekterkennungsverfahren. Berichte aus der Automatisierungstechnik.
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1995. Object Recognition and Pose Estimation with a Fast and Versatile 3D Robot Sensor. Proceedings of the 11th International Conference on Pattern Recognition. :684–687.
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1992. Objekterkennung und Lagebestimmung mit einem 3D-Robotsensor. Informationstechnik und Technische Informatik (it+ti). 1/94:39–46.
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1994. Automatisierung mit Industrierobotern. :257-270.
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1988. Fast and Versatile Range Data Acquisition in a Robot Work Cell. IEEE International Conference on Intelligent Robots and Systems. :1169–1174.
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1992. Polyhedral Object Recognition by Hough Space Analysis. Geobild. 51:165-172.
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1989. Fast and Robust Range Data Acquisition in a Low-Cost Environment. Proceedings der ISPRS Commission V Konferenz Close Range Photogrammetry Meets Machine Vision, Zürich. :496-503.
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1990. Recognition of Polyhedral Objects under Perspective View. Computers and Artificial Intelligence. 11:155–172.
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1992. Oberflächenvermessung mit einem 3D-Robotsensor. Zeitschrift für Photogrammetrie und Fererkundung (ZPF). :190-202.
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1990.