Found 16 resultsAuthor Title Type [ Year]
Filters: Author is Lemme, Andre [Clear All Filters]
A flat neural network architecture to represent movement primitives with integrated sequencing. :481–486.. 2015.
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.
Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing. 112:179–188.. 2013.
Neurally imprinted stable vector fields. ESANN. :327–332.. 2013.
Rare neural correlations implement robotic conditioning with reward delays and disturbances. Frontiers in Neurorobotics. 7:6.. 2013.
Learning visuo-motor coordination for pointing without depth calculation. Proc. European Symposium on Artificial Neural Networks. :91–96.. 2012.
Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders. Neural Networks. 33:194–203.. 2012.
Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. IEEE-RAS International Conference on Humanoid Robots. :560–567.. 2012.
Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.. 2012.
Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.. 2010.
Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.. 2010.