Biblio

Found 16 results
Author Title [ Type(Asc)] Year
Search results for Steil
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Conference Paper
Soltoggio A, Lemme A, Steil JJ.  2012.  Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. :1427–1433.
Nordmann A, Emmerich C, Rüther S, Lemme A, Wrede S, Steil JJ.  2012.  Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.
Lemme A, Reinhart F, Steil JJ.  2014.  Semi-supervised Bootstrapping of a Movement Primitive Library from Complex Trajectories. :726–732.
Reinhart F, Lemme A, Steil JJ.  2012.  Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. IEEE-RAS International Conference on Humanoid Robots. :560–567.
Lemme A, Neumann K, Reinhart F, Steil JJ.  2013.  Neurally imprinted stable vector fields. ESANN. :327–332.
Neumann K, Lemme A, Steil JJ.  2013.  Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
Freire A, Lemme A, Steil JJ, Baretto G.  2012.  Learning visuo-motor coordination for pointing without depth calculation. Proc. European Symposium on Artificial Neural Networks. :91–96.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
Wrede S, Johannfunke M, Lemme A, Nordmann A, Rüther S, Weirich A, Steil JJ.  2010.  Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.
Lemme A, Steil JJ.  2015.  A flat neural network architecture to represent movement primitives with integrated sequencing. :481–486.
Lemme A, Reinhart F, Steil JJ.  2010.  Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.