Biblio
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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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2010. Bootstrapping inverse Kinematics with Goal Babbling. :147–154.
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2010. Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.
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2010. Figure-ground segmentation using metrics adaptation in levelset methods. European Symposium on Artificial Neural Networks. :417–422.
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2010. Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.
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2010. Human-Robot Interaction for Learning and Adaptation of Object Movements. IEEE Int. Conf. Intelligent Robots and Systems. :4901–4907.
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2010. Imitating object movement skills with robots — A task-level approach exploiting generalization and invariance. The IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems : Conference Proceedings. :1262–1269.
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2010. Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.
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2010. Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.
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2010. Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226
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2010. Mastering Growth while Bootstrapping Sensorimotor Coordination. Int. Conf. on Epigenetic Robotics.
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2010. Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.
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2010. 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. 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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2009. Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.
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2009. Automatic Selection of Task Spaces for Imitation Learning. IEEE International Conference on Intelligent Robots and Systems. :4996–5002.
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2009. Efficient exploration and learning of whole body kinematics. IEEE 8th International Conference on Development and Learning. :1–7.
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2009. Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
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2009. Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM). :45–53.
