19 Publikationen
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760762Lemme A, Steil JJ. A flat neural network architecture to represent movement primitives with integrated sequencing. Presented at the European Symposium on Artificial Neural Networks, Brügge.PUB
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2014 | Datenpublikation | PUB-ID: 2678439Lemme A, Meirovitch Y, Khansari-Zadeh SM, Flash T, Billard A, Steil JJ. 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: 2698361Lemme A, Reinhart F, Steil JJ. Semi-supervised Bootstrapping of a Movement Primitive Library from Complex Trajectories. Presented at the IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS, Madrid.PUB
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2659127Gaspers J, Panzner M, Lemme A, Cimiano P, Rohlfing K, Wrede S. A multimodal corpus for the evaluation of computational models for (grounded) language acquisition. In: EACL Workshop on Cognitive Aspects of Computational Language Learning. 2014.PUB | PDF
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2637629Soltoggio A, Reinhart F, Lemme A, Steil JJ. 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.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465822Freire A, Lemme A, Steil JJ, Baretto G. Learning visuo-motor coordination for pointing without depth calculation. In: Proc. European Symposium on Artificial Neural Networks. d-facto; 2012: 91-96.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465826Nordmann A, Emmerich C, Rüther S, Lemme A, Wrede S, Steil JJ. Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. In: Institute of Electrical and Electronics Engineers, ed. International Conference on Robotics and Automation. St. Paul: IEEE; 2012: 1868-1875.PUB | DOI
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141984Lemme A, Reinhart F, Steil JJ. Efficient online learning of a non-negative sparse autoencoder. In: European Symposium Artificial Neural Networks. Bruges: d-facto; 2010: 1-6.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141992Wrede S, Johannfunke M, Lemme A, et al. Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. In: Proc. 20. Workshop on Computational Intelligence. Dortmund: Fachausschuss Computational Intelligence der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik; 2010.PUB