Found 9 results[ Author] Title Type Year
Filters: Author is Lemme, Andre [Clear All Filters]
Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics. 6:30–41.. 2015.
Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 141:3–14.. 2014.
Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.. 2010.
Multi-criteria benchmarking of movement generating dynamical systems for learning-from-demonstrations.. 2014.
Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders. Neural Networks. 33:194–203.. 2012.
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing. 112:179–188.. 2013.
A flat neural network architecture to represent movement primitives with integrated sequencing. :481–486.. 2015.
Neurally imprinted stable vector fields. :327–332.. 2013.