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.. 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.. 2011.
Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.. 2010.
Figure-ground segmentation using metrics adaptation in levelset methods. European Symposium on Artificial Neural Networks. :417–422.. 2010.
Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.. 2010.
Human-Robot Interaction for Learning and Adaptation of Object Movements. IEEE Int. Conf. Intelligent Robots and Systems. :4901–4907.. 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.. 2010.
Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.. 2010.
Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.. 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. 2010.
Mastering Growth while Bootstrapping Sensorimotor Coordination. Int. Conf. on Epigenetic Robotics.. 2010.
Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.. 2010.
Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.. 2010.
OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.. 2010.
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.. 2010.
Tacking reduces bow-diving of high-speed unmanned sea surface vehicles. Int. Symp. Learning and Adaptive Behavior in Robotic Systems. :177–182.. 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.. 2010.
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention Cognitive Computation. 2:326–343.. 2010.
Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.. 2009.
Automatic Selection of Task Spaces for Imitation Learning. IEEE International Conference on Intelligent Robots and Systems. :4996–5002.. 2009.
Efficient exploration and learning of whole body kinematics. IEEE 8th International Conference on Development and Learning. :1–7.. 2009.
Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.. 2009.
Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM). :45–53.. 2009.