19 Publikationen
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760762A. Lemme and J.J. Steil, “A flat neural network architecture to represent movement primitives with integrated sequencing”, Presented at the European Symposium on Artificial Neural Networks, Brügge, de Facto, 2015.PUB
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2014 | Datenpublikation | PUB-ID: 2678439A. Lemme, et al., Multi-criteria benchmarking of movement generating dynamical systems for learning-from-demonstrations, Bielefeld University, 2014.PUB | Dateien verfügbar | DOI
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2698361A. Lemme, F. Reinhart, and J.J. Steil, “Semi-supervised Bootstrapping of a Movement Primitive Library from Complex Trajectories”, Presented at the IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS, Madrid, IEEE, 2014.PUB
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2637629A. Soltoggio, et al., “Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards”, Presented at the Int. Conference on Developmental Learning and Epigenetic Robotics, Osaka, JP, 2013.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465822A. Freire, et al., “Learning visuo-motor coordination for pointing without depth calculation”, Proc. European Symposium on Artificial Neural Networks, d-facto, 2012, pp.91-96.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465826A. Nordmann, et al., “Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing”, International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers, ed., St. Paul: IEEE, 2012, pp.1868-1875.PUB | DOI
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2141961A. Lemme, F. Reinhart, and J.J. Steil, “Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders”, Neural Networks, vol. 33, 2012, pp. 194-203.PUB | Datei | DOI | WoS | PubMed | Europe PMC
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141984A. Lemme, F. Reinhart, and J.J. Steil, “Efficient online learning of a non-negative sparse autoencoder”, European Symposium Artificial Neural Networks, Bruges: d-facto, 2010, pp.1-6.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141992S. Wrede, et al., “Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks”, Proc. 20. Workshop on Computational Intelligence, Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, 2010.PUB