RT Journal Article
T1 A cognitive robotic ecology approach to self-configuring and evolving AAL systems
A1 Dragone, Mauro
A1 Amato, Giuseppe
A1 Bacciu, Davide
A1 Chessa, Stefano
A1 Coleman, Sonya
A1 Di Rocco, Maurizio
A1 Gallicchio, Claudio
A1 Gennaro, Claudio
A1 Lozano, Hector
A1 Maguire, Liam
A1 McGinnity, Martin
A1 Micheli, Alessio
A1 O׳Hare, Gregory M.P.
A1 Renteria, Arantxa
A1 Saffiotti, Alessandro
A1 Vairo, Claudio
A1 Vance, P.
A1 O'Hare, Gregory M.P.
AB 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.
YR 2015
FD 2015-10-01
LA eng
NO Dragone , M , Amato , G , Bacciu , D , Chessa , S , Coleman , S , Di Rocco , M , Gallicchio , C , Gennaro , C , Lozano , H , Maguire , L , McGinnity , M , Micheli , A , O׳Hare , G M P , Renteria , A , Saffiotti , A , Vairo , C , Vance , P & O'Hare , G M P 2015 , ' A cognitive robotic ecology approach to self-configuring and evolving AAL systems ' , unknown , vol. unknown , pp. 269-280 . https://doi.org/10.1016/j.engappai.2015.07.004
NO Publisher Copyright: © 2015 Elsevier Ltd. All rights reserved.
DS TECNALIA Publications
RD 29 sept 2024