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• [4]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2579798

  Kammer, M., Schack, T., Tscherepanow, M., & Nagai, Y. (2011). From Affordances to Situated Affordances in Robotics - Why Context is Important. Frontiers in Computational Neuroscience, 5(30). doi:10.3389/conf.fncom.2011.52.00030

  PUB | DOI | Download (ext.)
   
• [3]
  

  2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2279367

  Tscherepanow, M., Kortkamp, M., & Kammer, M. (2011). A Hierarchical ART Network for the Stable Incremental Learning of Topological Structures and Associations from Noisy Data. Neural Networks, 24(8), 906-916. https://doi.org/10.1016/j.neunet.2011.05.009

  PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
   
• [2]
  

  2011 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2295541

  Kammer, M., Tscherepanow, M., Schack, T., & Nagai, Y. (2011). From Affordances to Situated Affordances in Robotics - Why Context is Important. Frontiers in Computational Neuroscience Conference Abstract: IEEE ICDL-EPIROB 2011 Frontiers Media. https://doi.org/10.3389/conf.fncom.2011.52.00030

  PUB | DOI
   
• [1]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2279386

  Kammer, M., Tscherepanow, M., Schack, T., & Nagai, Y. (2011). A Perceptual Memory System for Affordance Learning in Humanoid Robots. In T. Honkela, W. Duch, M. Girolami, & S. Kaski (Eds.), Lecture Notes in Computer Science, 6792. Proceedings of the International Conference on Artificial Neural Networks (ICANN) (pp. 349-356). Berlin: Springer. https://doi.org/10.1007/978-3-642-21738-8_45

  PUB | PDF | DOI