PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [19]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2709756

  Lemme, A., et al., 2015. Open-source benchmarking for learned reaching motion generation in robotics. Paladyn, Journal of Behavioral Robotics, 6(1), p 30-41.

  PUB | DOI
   
• [18]
  

  2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2760762

  Lemme, A., & Steil, J.J., 2015. A flat neural network architecture to represent movement primitives with integrated sequencing. Presented at the European Symposium on Artificial Neural Networks, Brügge.

  PUB
   
• [17]
  

  2014 | Datenpublikation | PUB-ID: 2678439

  Lemme, A., et al., 2014. Multi-criteria benchmarking of movement generating dynamical systems for learning-from-demonstrations, Bielefeld University.

  PUB | Dateien verfügbar | DOI
   
• [16]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2698361

  Lemme, A., Reinhart, F., & Steil, J.J., 2014. Semi-supervised Bootstrapping of a Movement Primitive Library from Complex Trajectories. Presented at the IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS, Madrid.

  PUB
   
• [15]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2656292

  Lemme, A., et al., 2014. Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing, 141, p 3-14.

  PUB | PDF | DOI | WoS
   
• [14]
  

  2014 | Bielefelder E-Dissertation | PUB-ID: 2731414

  Lemme, A., 2014. Bootstrapping movement primitives from complex trajectories, Bielefeld: Bielefeld University.

  PUB | PDF
   
• [13]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2659127

  Gaspers, J., et al., 2014. A multimodal corpus for the evaluation of computational models for (grounded) language acquisition. In EACL Workshop on Cognitive Aspects of Computational Language Learning.

  PUB | PDF
   
• [12]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547895

  Soltoggio, A., et al., 2013. Rare neural correlations implement robotic conditioning with reward delays and disturbances. Frontiers in Neurorobotics, 7, p 6.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [11]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547900

  Lemme, A., et al., 2013. Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing, 112, p 179-188.

  PUB | DOI | WoS
   
• [10]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2637629

  Soltoggio, A., et al., 2013. 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
   
• [9]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2581205

  Lemme, A., et al., 2013. Neurally imprinted stable vector fields. Presented at the European Symposium on Artificial Neural Networks, (best paper award).

  PUB | PDF
   
• [8]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2637630

  Neumann, K., Lemme, A., & Steil, J.J., 2013. Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio.

  PUB | PDF
   
• [7]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2532428

  Soltoggio, A., Lemme, A., & Steil, J.J., 2012. Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. Presented at the IEEE International Conference on Robotics and Biomimetics

  PUB | DOI
   
• [6]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465822

  Freire, A., et al., 2012. Learning visuo-motor coordination for pointing without depth calculation. In Proc. European Symposium on Artificial Neural Networks. d-facto, pp. 91-96.

  PUB
   
• [5]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465826

  Nordmann, A., et al., 2012. 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, pp. 1868-1875.

  PUB | DOI
   
• [4]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2532432

  Reinhart, F., Lemme, A., & Steil, J.J., 2012. Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. In IEEE-RAS International Conference on Humanoid Robots. pp. 560-567.

  PUB | Datei
   
• [3]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2141961

  Lemme, A., Reinhart, F., & Steil, J.J., 2012. Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders. Neural Networks, 33, p 194-203.

  PUB | Datei | DOI | WoS | PubMed | Europe PMC
   
• [2]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141984

  Lemme, A., Reinhart, F., & Steil, J.J., 2010. Efficient online learning of a non-negative sparse autoencoder. In European Symposium Artificial Neural Networks. Bruges: d-facto, pp. 1-6.

  PUB
   
• [1]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141992

  Wrede, S., et al., 2010. 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.

  PUB