Project description Cognitive Systems and RoboticsSelf-learning robotic ecologyhttp://www.fp7rubicon.eu/" target="_blank">RUBICON will create a self-learning robotic ecology, consisting of a network of sensors, effectors and mobile robot devices. Enabling 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 and so on. Current approaches heavily rely on models of the environment and on human configuration/supervision and lack the ability to smoothly adapt to evolving situations. RUBICON ecology will be able to teach itself about its environment and learn to improve the way it carries out different tasks. The project will reduce the amount of preparation and pre-programming that robotic and/or wireless sensor network solutions require when they are deployed. In addition, RUBICON ecologies will reduce the need to maintain and re-configure already-deployed systems. Show the project objective Hide the project 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.Enabling 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.Current 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.A 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.As 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.The 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 scenariosImpact: 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.The 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. Fields of science natural sciencesbiological sciencesecologyengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensorsnatural sciencesbiological sciencesneurobiologycomputational neuroscienceengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology Programme(s) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Topic(s) ICT-2009.2.1 - Cognitive Systems and Robotics Call for proposal FP7-ICT-2009-6 See other projects for this call Funding Scheme CP - Collaborative project (generic) Coordinator Contact Gregory O'HARE Prof. Coordinator UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN Address Belfield 4 Dublin Ireland See on map Region Ireland Eastern and Midland Dublin Activity type Higher or Secondary Education Establishments Administrative Contact Donal Doolan (Mr.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution € 537 616,00 Participants (9) Sort alphabetically Sort by EU Contribution Expand all Collapse all FUNDACION TECNALIA RESEARCH & INNOVATION Spain EU contribution € 0,00 Address Parque cientifico y tecnologico de gipuzkoa, paseo mikeletegi 2 20009 Donostia-san sebastian (gipuzkoa) See on map Region Noreste País Vasco Gipuzkoa Activity type Research Organisations Administrative Contact Carmen Pastor (Ms.) Links Contact the organisation Opens in new window Website Opens in new window FUNDACION ROBOTIKER Participation ended Spain EU contribution € 199 687,00 Address Parque tecnologico, edificio 202 48170 Zamudio See on map Activity type Research Organisations Administrative Contact Carmen Pastor (Ms.) Links Contact the organisation Opens in new window Website Opens in new window ROBOTNIK AUTOMATION SL Spain EU contribution € 227 640,00 Address Ronda auguste y louis lumiere 6 y 8 46980 Paterna See on map Region Este Comunitat Valenciana Valencia/València Administrative Contact Rafael Lopez Tarazon (Mr.) Links Contact the organisation Opens in new window Website Opens in new window PINTAIL LTD Ireland EU contribution € 70 220,00 Address Springhill avenue 77 A94 K542 Blackrock See on map Region Ireland Eastern and Midland Dublin Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Administrative Contact CIARAN CLISSMANN (Mr.) Links Contact the organisation Opens in new window Website Opens in new window CONSIGLIO NAZIONALE DELLE RICERCHE Italy EU contribution € 288 360,00 Address Piazzale aldo moro 7 00185 Roma See on map Region Centro (IT) Lazio Roma Administrative Contact Claudio Montani (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Fondazione Stella Maris Italy EU contribution € 65 478,00 Address Viale del tirreno 331 56118 Pisa See on map Region Centro (IT) Toscana Pisa Activity type Research Organisations Administrative Contact Giuseppe De Vito (Dr.) Links Contact the organisation Opens in new window Website Opens in new window UNIVERSITA DI PISA Italy EU contribution € 338 400,00 Address Lungarno pacinotti 43/44 56126 Pisa See on map Region Centro (IT) Toscana Pisa Activity type Higher or Secondary Education Establishments Administrative Contact Paola Fabiani (Ms.) Links Contact the organisation Opens in new window Website Opens in new window OREBRO UNIVERSITY Sweden EU contribution € 330 600,00 Address Fakultetsgatan 1 70182 Orebro See on map Region Östra Sverige Östra Mellansverige Örebro län Activity type Higher or Secondary Education Establishments Administrative Contact Silvia Coradeschi (Prof.) Links Contact the organisation Opens in new window Website Opens in new window UNIVERSITY OF ULSTER United Kingdom EU contribution € 448 766,00 Address Cromore road BT52 1SA Coleraine See on map Region Northern Ireland Northern Ireland Causeway Coast and Glens Activity type Higher or Secondary Education Establishments Administrative Contact Marie Patton (Dr.) Links Contact the organisation Opens in new window Website Opens in new window
