Found 13 resultsAuthor Title Type [ Year]
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Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Transactions on Neural Networks and Learning Systems. 27:1–7.. 2016.
Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching. Proc. of the Int. Conference on Intelligent Robots and Systems (IROS). :4381–4388.. 2014.
Assisted Gravity Compensation to Cope with the Complexity of Kinesthetic Teaching on Redundant Robots. :4307–4313.. 2013.
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.. 2013.
Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 112:47–57.. 2013.
A User Study on Kinesthetic Teaching of Redundant Robots in Task and Configuration Space. Journal of Human-Robot Interaction. 2:56–81.. 2013.
Balancing of neural contributions for multi-modal hidden state association. Proc. European Symposium on Artificial Neural Networks. :19–24.. 2012.
Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks.. 2012.
Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 4:230–246.. 2012.
Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.. 2012.
Figure-ground segmentation using metrics adaptation in levelset methods. European Symposium on Artificial Neural Networks. :417–422.. 2010.
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.. 2010.
Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot. Int. Symp. Learning Adaptive Behavior in Robotic Systems, best paper award. 1:35–40.. 2008.