Options
Robotic UBIquitous COgnitive Network
Date Issued
2012
Date Available
2013-12-01T04:00:10Z
Abstract
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.
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2012 Springer-Verlag
Language
English
Status of Item
Peer reviewed
Part of
Novais, Paulo et al. (eds.). Ambient Intelligence - Software and Applications : Advances in Intelligent and Soft Computing Volume 153
Conference Details
3rd International Symposium on Ambient Intelligence, Salamanca, Spain, 2012
ISBN
978-3-642-28782-4
This item is made available under a Creative Commons License
File(s)
Owning collection
Scopus© citations
23
Acquisition Date
Apr 17, 2024
Apr 17, 2024
Views
1525
Acquisition Date
Apr 17, 2024
Apr 17, 2024
Downloads
642
Last Week
1
1
Last Month
14
14
Acquisition Date
Apr 17, 2024
Apr 17, 2024