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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004343naa a2200577 4500
001oai:DiVA.org:oru-46286
003SwePub
008151023s2015 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-462862 URI
0247 a https://doi.org/10.1016/j.engappai.2015.07.0042 DOI
040 a (SwePub)oru
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Dragone, Maurou Trinity College Dublin, Dublin, Ireland4 aut
2451 0a A cognitive robotic ecology approach to self-configuring and evolving AAL systems
264 1b Pergamon-Elsevier Science,c 2015
338 a print2 rdacarrier
500 a Funding Agency:European project RUBICON (Robotic UBIquitous COgnitive Network) 269914Note: The "Alessandro Faedo" Institute of Information Science and Technology (ISTI) is an institute of the Italian National Research Council (CNR)
520 a 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.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
653 a Robotic ecology
653 a Ambient assisted living
653 a Cognitive robotics
653 a Machine learning
653 a Planning
653 a Computer Science
653 a Datavetenskap
7001 a Amato, Giuseppeu ISTI-CNR, Pisa, Italy4 aut
7001 a Bacciu, Davideu Università di Pisa, Pisa, Italy4 aut
7001 a Chessa, Stefanou Università di Pisa, Pisa, Italy4 aut
7001 a Coleman, Sonyau University of Ulster, Derry, United Kingdom4 aut
7001 a Di Rocco, Maurizio,d 1982-u Örebro universitet,Institutionen för naturvetenskap och teknik4 aut0 (Swepub:oru)modo
7001 a Gallicchio, Claudiou Università di Pisa, Pisa, Italy4 aut
7001 a Gennaro, Claudiou ISTI-CNR, Pisa, Italy4 aut
7001 a Lozano, Hectoru Tecnalia, Bilbao, Spain4 aut
7001 a Maguire, Liamu University of Ulster, Derry, United Kingdom4 aut
7001 a McGinnity, Martinu University of Ulster, Derry, United Kingdom4 aut
7001 a Micheli, Alessiou Università di Pisa, Pisa, Italy4 aut
7001 a O'Hare, Gregory M. P.u University College Dublin, Dublin, Ireland4 aut
7001 a Renteria, Arantxau Tecnalia, Bilbao, Spain4 aut
7001 a Saffiotti, Alessandro,d 1960-u Örebro universitet,Institutionen för naturvetenskap och teknik4 aut0 (Swepub:oru)asaffio
7001 a Vairo, Claudiou ISTI-CNR, Pisa, Italy4 aut
7001 a Vance, Philipu University of Ulster, Derry, United Kingdom4 aut
7102 a Trinity College Dublin, Dublin, Irelandb ISTI-CNR, Pisa, Italy4 org
7730 t Engineering applications of artificial intelligenced : Pergamon-Elsevier Scienceg 45, s. 269-280q 45<269-280x 0952-1976x 1873-6769
8564 u http://dsp.tecnalia.com/bitstream/11556/224/1/A%20COGNITIVE%20ROBOTIC%20ECOLOGY%20APPROACH%20TO%20SELF-CONFIGURING%20AND%20EVOLVING%20AAL%20SYSTEMS.pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-46286
8564 8u https://doi.org/10.1016/j.engappai.2015.07.004

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