A cognitive robotic ecology approach to self-configuring and evolving AAL systemsShow others and affiliations
2015 (English)In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 45, p. 269-280Article in journal (Refereed) 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.
Place, publisher, year, edition, pages
Pergamon-Elsevier Science , 2015. Vol. 45, p. 269-280
Keywords [en]
Robotic ecology, Ambient assisted living, Cognitive robotics, Machine learning, Planning
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
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
Note
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)
2015-10-232015-10-232018-07-02Bibliographically approved