19 Publikationen
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2709756Lemme, Andre, Meirovitch, Yaron, Khansari-Zadeh, Seyed Mohammad, Flash, Tamar, Billard, Aude, and Steil, Jochen J. “Open-source benchmarking for learned reaching motion generation in robotics”. Paladyn, Journal of Behavioral Robotics 6.1 (2015): 30-41.PUB | DOI
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760762Lemme, Andre, and Steil, Jochen J. “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: 2678439Lemme, Andre, Meirovitch, Yaron, Khansari-Zadeh, Seyed Mohammad, Flash, Tamar, Billard, Aude, and Steil, Jochen J. 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, Andre, Reinhart, Felix, and Steil, Jochen J. “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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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2659127Gaspers, Judith, Panzner, Maximilian, Lemme, Andre, Cimiano, Philipp, Rohlfing, Katharina, and Wrede, Sebastian. “A multimodal corpus for the evaluation of computational models for (grounded) language acquisition”. EACL Workshop on Cognitive Aspects of Computational Language Learning. 2014.PUB | PDF
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547895Soltoggio, Andrea, Lemme, Andre, Reinhart, Felix, and Steil, Jochen J. “Rare neural correlations implement robotic conditioning with reward delays and disturbances”. Frontiers in Neurorobotics 7 (2013): 6.PUB | PDF | DOI | WoS | PubMed | Europe PMC
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2637629Soltoggio, Andrea, Reinhart, Felix, Lemme, Andre, and Steil, Jochen J. “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: 2532428Soltoggio, Andrea, Lemme, Andre, and Steil, Jochen J. “Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing”. Presented at the IEEE International Conference on Robotics and Biomimetics, IEEE, 2012.PUB | DOI
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465822Freire, Ananda, Lemme, Andre, Steil, Jochen J., and Baretto, Guilherme. “Learning visuo-motor coordination for pointing without depth calculation”. Proc. European Symposium on Artificial Neural Networks. d-facto, 2012. 91-96.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465826Nordmann, Arne, Emmerich, Christian, Rüther, Stefan, Lemme, Andre, Wrede, Sebastian, and Steil, Jochen J. “Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing”. International Conference on Robotics and Automation. Ed. Institute of Electrical and Electronics Engineers. St. Paul: IEEE, 2012. 1868-1875.PUB | DOI
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2141961Lemme, Andre, Reinhart, Felix, and Steil, Jochen J. “Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders”. Neural Networks 33 (2012): 194-203.PUB | Datei | DOI | WoS | PubMed | Europe PMC
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141984Lemme, Andre, Reinhart, Felix, and Steil, Jochen J. “Efficient online learning of a non-negative sparse autoencoder”. European Symposium Artificial Neural Networks. Bruges: d-facto, 2010. 1-6.PUB
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141992Wrede, Sebastian, Johannfunke, Michael, Lemme, Andre, Nordmann, Arne, Rüther, Stefan, Weirich, Alicia, and Steil, Jochen J. “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