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Gascuena J.M.,Institute Investigacion en Informatica de | Garijo F.J.,CNRS Toulouse Institute in Information Technology | Fernandez-Caballero A.,Institute Investigacion en Informatica de | Fernandez-Caballero A.,University of Castilla - La Mancha | And 2 more authors.
Journal of Intelligent and Fuzzy Systems

One important research area in autonomous mobile robotics is to create companions that live in our ambience and perform tasks to help in everyday life. On the other hand, Ambient Intelligence (AmI) seeks to create a network of helpful intelligent devices. This paper describes an approach for the development of cooperation models for eldercare robot teams using goal-driven control components. The framework and the approach are illustrated through the development and assessment of task allocation in multi-robot teams. Two cooperation models are implemented: (i) a team model based on the adaptive multiagent systems theory where task responsibility is agreed among team peers by exchanging individual estimations of the degree of difficulty and priority to achieve the task; (ii) a hierarchical model where a robot manager asks for the estimations of its team members and then assigns the task. Experimentation for team cooperation assessment is performed through considering environmental changes, as well as communications and internal failures. The proposal is simulated in an AmI-oriented elderly care center to assist seniors in need. © 2015 - IOS Press and the authors. All rights reserved. Source

Gascuena J.M.,Institute Investigacion en Informatica de | Navarro E.,Institute Investigacion en Informatica de | Navarro E.,University of Castilla - La Mancha | Fernandez-Sotos P.,University of Castilla - La Mancha | And 3 more authors.
Journal of Intelligent and Fuzzy Systems

An important issue in Ambient Intelligence (AmI) is the massive deployment of intelligent agents embedded in the environment which are adaptive to the users' profiles, preferences and needs. This is why, the use of agent-oriented methodologies and frameworks is almost mandatory to easily develop software for AmI scenarios. ICARO is a software framework that promotes the use of different organizational and behavioral patterns to implement multi-agent systems (MAS). Its extensive use in several projects demonstrates a substantial increase in software productivity. Also, in order to reduce the coding effort it is usual to design MAS at a higher level. In this sense, code generation from MAS specifications into ICARO framework has been performed. INGENIAS Development Kit (IDK) supports both the specification of MAS models, including any feature required to implement MAS with ICARO, and a set of facilities for code generation. This paper describes the development of AmI applications thanks to the integration of ICARO and IDK. Two IDK modules have been developed, namely a "code generation" and a "code update support" module. © 2015 - IOS Press and the authors. All rights reserved. Source

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