RUBICON

Robotics UBIquitous COgnitive Network

Coordinatore	UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN    more  Organization address address: Belfield Campus city: DUBLIN postcode: 4 contact info Titolo: Mr. Nome: Donal Cognome: Doolan Email: send email Telefono: +353 1 7161656 Fax: +353 1 7161216
Nazionalità Coordinatore	Ireland [IE]
Totale costo	3˙308˙140 €
EC contributo	2˙506˙767 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2009-6
Funding Scheme	CP
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-04-01   -   2014-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN  Organization address address: Belfield Campus city: DUBLIN postcode: 4 contact info Titolo: Mr. Nome: Donal Cognome: Doolan Email: send email Telefono: +353 1 7161656 Fax: +353 1 7161216	IE (DUBLIN)	coordinator	0.00
2	CONSIGLIO NAZIONALE DELLE RICERCHE  Organization address address: PIAZZALE ALDO MORO city: ROMA postcode: 185 contact info Titolo: Dr. Nome: Claudio Cognome: Montani Email: send email Telefono: 390503000000 Fax: 390503000000	IT (ROMA)	participant	0.00
3	Fondazione Stella Maris  Organization address address: Viale del Tirreno city: Pisa postcode: 56118 contact info Titolo: Dr. Nome: Giuseppe Cognome: De Vito Email: send email Telefono: 39050886277 Fax: 39050886222	IT (Pisa)	participant	0.00
4	FUNDACION TECNALIA RESEARCH & INNOVATION  Organization address address: Parque Tecnologico de Bizkaia, Calle Geldo, Edificio 700 city: DERIO postcode: 48160 contact info Titolo: Ms. Nome: Carmen Cognome: Pastor Email: send email Telefono: 34946002266 Fax: 34946002299	ES (DERIO)	participant	0.00
5	OREBRO UNIVERSITY  Organization address address: FAKULTETSGATAN city: OEREBRO postcode: 70182 contact info Titolo: Prof. Nome: Silvia Cognome: Coradeschi Email: send email Telefono: +46 19 303463 Fax: +46 19 303463	SE (OEREBRO)	participant	0.00
6	PINTAIL LTD  Organization address address: SPRINGHILL AVENUE city: BLACKROCK contact info Titolo: Mr. Nome: CIARAN Cognome: CLISSMANN Email: send email Telefono: +353 1 2899529 Fax: +353 1 2899529	IE (BLACKROCK)	participant	0.00
7	ROBOTNIK AUTOMATION SLL  Organization address address: C/Berni i Catala city: VALENCIA postcode: 46019 contact info Titolo: Mr. Nome: Rafael Cognome: Lopez Tarazon Email: send email Telefono: +34 96 3383835 Fax: +34 96 3383580	ES (VALENCIA)	participant	0.00
8	UNIVERSITA DI PISA  Organization address address: Lungarno Pacinotti city: PISA postcode: 56126 contact info Titolo: Ms. Nome: Paola Cognome: Fabiani Email: send email Telefono: +39 050 2212722 Fax: +39 050 2213113	IT (PISA)	participant	0.00
9	UNIVERSITY OF ULSTER  Organization address address: CROMORE ROAD city: COLERAINE postcode: BT52 1SA contact info Titolo: Dr. Nome: Marie Cognome: Patton Email: send email Telefono: +44 28 70124378 Fax: +44 28 70124905	UK (COLERAINE)	participant	0.00

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

This project will create a self-learning robotic ecology, called RUBICON (for Robotic UBIquitous COgnitive Network), consisting of a network of sensors, effectors and mobile robot devices.nnEnabling robots to seamlessly operate as part of these ecologies is an important challenge for robotics R&D, in order to support applications such as ambient assisted living, security, etc.nnCurrent approaches heavily rely on models of the environment and on human configuration and supervision and lack the ability to smoothly adapt to evolving situations. These limitations make these systems hard and costly to deploy and maintain in real world applications, as they must be tailored to the specific environment and constantly updated to suit changes in both the environments and in the applications where they are deployed.nnA RUBICON ecology will be able to teach itself about its environment and learn to improve the way it carries out different tasks. The ecology will act as a persistent memory and source of intelligence for all its participants and it will exploit the mobility and the better sensing capabilities of the robots to verify and provide the feedback on its own performance.nnAs the nodes of a RUBICON ecology will mutually support one another's learning, the ecology will identify, commission and fulfil tasks more effectively and efficiently.nnThe project builds on many years of experience across a world-leading consortium. It combines robotics, multi-agent systems, novelty detection, dynamic planning, statistical and computational neuroscience methods, efficient component & data abstraction, robot/WSN middleware and three robotic test-beds. Validation will take place using two application scenariosnnImpact: The project will reduce the amount of preparation and pre-programming that robotic and/or wireless sensor network (WSN) solutions require when they are deployed. In addition, RUBICON ecologies will reduce the need to maintain and re-configure already-deployed systems, so that changes in the requirements of such systems can be easily implemented and new components can be easily accommodated.nnThe relative intelligence and mobility of a robot, when compared to those of a typical wireless sensor node, means that WSN nodes embedded in a RUBICON ecology can learn about their environment and their domain application, through the 'training' that is provided by the robot. This means that the quality of service which is offered by WSNs can be significantly improved, without the need for extensive human involvement.