Browsing by Author "Nehmzow, Ulrich"

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  • Zhang, Xin; Lee, Mark Howard (Imperial College Press, 2006)
  • Baldassare, Gianluca; Mirolli, Marco; Mannella, Francesco; Caligiore, Daniele; Visalberghi, Elisabetha; Natale, Francesco; Truppa, Valentina; Sabbatini, Gloria; Guglielmelli, Eugenio; Keller, Flavio; Campolo, Domenico; Redgrave, Peter; Gurney, Kevin; Stafiord, Tom; Triesch, Jochen; Weber, Cornelius; Rothkopf, Constantin; Nehmzow, Ulrich; Condell, Joan; Siddique, Mia; Lee, Mark; Hülse, Martin; Schmidhuber, Juergen; Gomez, Faustino; Foester, Alexander; Togelius, Julian; Barto, Andrew (Lund University Cognitive Science, 2009-12-01)
    This short paper presents the core ideas of the IM-CLeVeR Project. IM-CLeVeR aims at developing a new methodology for designing robot controllers that can: (a) cumulatively learn new skills through autonomous develop-ment ...
  • Truppa, Valentina; Condell, Joan; Keller, Flavio; Togelius, Julian; Lee, Mark; Stafiord, Tom; Rothkopf, Constantin; Guglielmelli, Eugenio; Triesch, Jochen; Gurney, Kevin; Barto, Andrew; Foester, Alexander; Natale, Francesco; Gomez, Faustino; Huelse, Martin; Visalberghi, Elisabetha; Schmidhuber, Juergen; Sabbatini, Gloria; Baldassare, Gianluca; Mirolli, Marco; Mannella, Francesco; Campolo, Domenico; Siddique, Mia; Redgrave, Peter; Weber, Cornelius; Caligiore, Daniele; Nehmzow, Ulrich (2010-01-13)
  • Lee, Mark; Nehmzow, Ulrich; Rodrigues, Marcos (Palgrave Macmillan, 2012-06-13)
    In cognitive science, modelling has many useful roles, one of which is to inspire attempts to realise an artificially intelligent agent or autonomous robot. However, there still remains a large gulf between the behaviour ...
  • Binding, Dave; Labrosse, Frederic (2006-09)
    In this paper, we present a method that uses panoramic images to perform local homing. Our method is different from others in that it does not extract any features from the images and only performs simple image processing ...