Research Institute for Cognition and Robotics

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Publications
Filters: Author is Andre Lemme  [Clear All Filters]
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Freire, A., A. Lemme, J. J. Steil, and G. Barreto, "Learning visuo-motor coordination for pointing without depth calculation", European Symposium on Artificial Neural Networks, pp. 91-96, 2012.
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Lemme, A., F. R. Reinhart, and J. J. Steil, "Efficient online learning of a non-negative sparse autoencoder", ESANN, Bruges, d-facto, pp. 1-6, April 2010.  Download: LemmeReinhartSteil-ESANN2010.pdf (2.75 MB)
Lemme, A., Y. Meirovitch, T. Flash, and J. J. Steil, Co-articulation of straight lines with an Artificial Neural Network, : Neural Control of Movement (NCM), 2012.
Lemme, A., F. R. Reinhart, and J. J. Steil, "Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders", Neural Networks, vol. 33, pp. 194 – 203, 2012.
Lemme, A., K. Neumann, F. R. Reinhart, and J. J. Steil, "Neurally imprinted stable vector fields", ESANN: best paper award, 2013.
Lemme, A., A. Freire, G. Barreto, and J. J. Steil, "Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub", Neurocomputing, vol. 112, pp. 179–188, 2013.
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Nordmann, A., C. Emmerich, S. Rüther, A. Lemme, S. Wrede, and J. J. Steil, "Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing", International Conference on Robotics and Automation, St. Paul, pp. 1868 - 1875, 2012.
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Reinhart, F. R., A. Lemme, and J. J. Steil, "Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching", 2012 IEEE-RAS International Conference on Humanoid Robots, Osaka, pp. 560 - 567, 2012.
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Soltoggio, A., A. Lemme, and J. J. Steil, "Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing", IEEE International Conference on Robotics and Biomimetics: IEEE, 12/2012.
Soltoggio, A., A. Lemme, F. R. Reinhart, and J. J. Steil, "Rare neural correlations implement robotic conditioning with reward delays and disturbances", Frontiers in Neurorobotics, vol. 7, no. Research Topic: Value and Reward Based Learning in Neurobots, 2013.
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Wrede, S., M. Johannfunke, A. Lemme, A. Nordmann, S. Rüther, A. Weirich, and J. J. Steil, "Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks", 20. Workshop on Computational Intelligence, Dortmund, Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik , 2010.

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