Robotic UBIquitous COgnitive Network

Giuseppe Amato, Mathias Broxvall, Stefano Chessa, Mauro Dragone, Claudio Gennaro, Rafa López, Liam Maguire, T. Martin Mcginnity, Alessio Micheli, Arantxa Renteria, Gregory M. P. O'Hare, Federico Pecora

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

23 Citations (Scopus)


Robotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks. While their potential makes them increasingly popular, one fundamental problem is how to make them self-adaptive, so as to reduce the amount of preparation, pre-programming and human supervision that they require in real world applications. The EU FP7 project RUBICON develops self-sustaining learning solutions yielding cheaper, adaptive and efficient coordination of robotic ecologies. The approach we pursue builds upon a unique combination of methods from cognitive robotics, agent control systems, wireless sensor networks and machine learning. This paper briefly illustrates how these techniques are being extended, integrated, and applied to AAL applications.
Original languageEnglish
Title of host publicationAmbient Intelligence-Software and Applications
Subtitle of host publication3rd International Symposium on Ambient Intelligence (ISAmI 2012)
EditorsPaulo Novais, Kasper Hallenborg, Dante I. Tapia, Juan M. Corchado Rodríguez
Number of pages5
ISBN (Electronic)9783642287831
ISBN (Print)9783642287824
Publication statusPublished - 2012

Publication series

NameAdvances in Intelligent and Soft Computing
ISSN (Print)1867-5662


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