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A cognitive robotic ecology approach to self-configuring and evolving AAL systems

Dragone, Mauro (author)
Trinity College Dublin, Dublin, Ireland
Amato, Giuseppe (author)
ISTI-CNR, Pisa, Italy
Bacciu, Davide (author)
Università di Pisa, Pisa, Italy
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Chessa, Stefano (author)
Università di Pisa, Pisa, Italy
Coleman, Sonya (author)
University of Ulster, Derry, United Kingdom
Di Rocco, Maurizio, 1982- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik
Gallicchio, Claudio (author)
Università di Pisa, Pisa, Italy
Gennaro, Claudio (author)
ISTI-CNR, Pisa, Italy
Lozano, Hector (author)
Tecnalia, Bilbao, Spain
Maguire, Liam (author)
University of Ulster, Derry, United Kingdom
McGinnity, Martin (author)
University of Ulster, Derry, United Kingdom
Micheli, Alessio (author)
Università di Pisa, Pisa, Italy
O'Hare, Gregory M. P. (author)
University College Dublin, Dublin, Ireland
Renteria, Arantxa (author)
Tecnalia, Bilbao, Spain
Saffiotti, Alessandro, 1960- (author)
Örebro universitet,Institutionen för naturvetenskap och teknik
Vairo, Claudio (author)
ISTI-CNR, Pisa, Italy
Vance, Philip (author)
University of Ulster, Derry, United Kingdom
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 (creator_code:org_t)
Pergamon-Elsevier Science, 2015
2015
English.
In: Engineering applications of artificial intelligence. - : Pergamon-Elsevier Science. - 0952-1976 .- 1873-6769. ; 45, s. 269-280
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Robotic ecologies are systems made out of several robotic devices, including mobile robots, wireless sensors and effectors embedded in everyday environments, where they cooperate to achieve complex tasks. This paper demonstrates how endowing robotic ecologies with information processing algorithms such as perception, learning, planning, and novelty detection can make these systems able to deliver modular, flexible, manageable and dependable Ambient Assisted Living (AAL) solutions. Specifically, we show how the integrated and self-organising cognitive solutions implemented within the EU project RUBICON (Robotic UBIquitous Cognitive Network) can reduce the need of costly pre-programming and maintenance of robotic ecologies. We illustrate how these solutions can be harnessed to (i) deliver a range of assistive services by coordinating the sensing & acting capabilities of heterogeneous devices, (ii) adapt and tune the overall behaviour of the ecology to the preferences and behaviour of its inhabitants, and also (iii) deal with novel events, due to the occurrence of new user's activities and changing user's habits.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Robotic ecology
Ambient assisted living
Cognitive robotics
Machine learning
Planning
Computer Science
Datavetenskap

Publication and Content Type

ref (subject category)
art (subject category)

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