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A cognitive robotic ecology approach to self-configuring and evolving AAL systems
Trinity College Dublin, Dublin, Ireland.
ISTI-CNR, Pisa, Italy.
Università di Pisa, Pisa, Italy.
Università di Pisa, Pisa, Italy.
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2015 (Engelska)Ingår i: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 45, s. 269-280Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
Pergamon-Elsevier Science , 2015. Vol. 45, s. 269-280
Nyckelord [en]
Robotic ecology, Ambient assisted living, Cognitive robotics, Machine learning, Planning
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-46286DOI: 10.1016/j.engappai.2015.07.004ISI: 000362130500021Scopus ID: 2-s2.0-84941034110OAI: oai:DiVA.org:oru-46286DiVA, id: diva2:862662
Anmärkning

Funding Agency:

European project RUBICON (Robotic UBIquitous COgnitive Network) 269914

Note: The "Alessandro Faedo" Institute of Information Science and Technology (ISTI) is an institute of the Italian National Research Council (CNR)

Tillgänglig från: 2015-10-23 Skapad: 2015-10-23 Senast uppdaterad: 2018-07-02Bibliografiskt granskad

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Di Rocco, MaurizioSaffiotti, Alessandro

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Engineering applications of artificial intelligence
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