Biblio
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2010. OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.
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2010. Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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2010. Tacking reduces bow-diving of high-speed unmanned sea surface vehicles. Int. Symp. Learning and Adaptive Behavior in Robotic Systems. :177–182.
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2010. teutolab-robotik - Hands-On Teaching of Human-Robot Interaction. Proc. Int. Conf. on SIMULATION, MODELING and PROGRAMMING for AUTONOMOUS ROBOTS, Workshop on "Teaching Robotics-Teaching with Robotics". :474–483.
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2010. Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention Cognitive Computation. 2:326–343.
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2011. Batch Intrinsic Plasticity for Extreme Learning Machines. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. 6791:339–346.
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2011. A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
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2011. Editorial Special Corner on Cognitive Robotics. Cognitive Processing. 12:317–318.
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2011. Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
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2011. Learning Lab - Physical Interaction with Humanoid Robots for Pupils. Proc. Robotics in Education. :21–28.
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2011. Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.
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2011. Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
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2011. Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions. IEEE Int. Conf. Development and Learning and on Epigenetic Robotics (best student paper award). 2:1–8.
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2011. Reservoir regularization stabilizes learning of Echo State Networks with output feedback. Proc. European Symposium on Artificial Neural Networks. :59–64.
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2011. Robot with automatic selection of task-specific representations for imitation learning. European Patent Office.
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2011. State prediction: a constructive method to program recurrent neural networks. Artificial Neural Networks and Machine Learning – ICANN 2011 : 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. 6791:159–166.
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2011. 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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2012. Balancing of neural contributions for multi-modal hidden state association. Proc. European Symposium on Artificial Neural Networks. :19–24.
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2012. Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS). :3440–3446.
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2012. Goal Babbling: a New Concept for Early Sensorimotor Exploration. Proceedings of Workshop on Developmental Robotics.
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2012. How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. KI- Künstliche Intelligenz. 26:407–410.
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2012. Intelligent Interfaces between Humans and Technology. 22:2.
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2012. Interactive Imitation Learning of Object Movement Skills. Autonomous Robots. 32:97–114.
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2012. Intrinsic Plasticity via Natural Gradient Decent. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. :555–560.
