Project description
Cognitive Systems and Robotics Self-learning robotic ecology 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.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationswireless
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencesbiological sciencesneurobiologycomputational neuroscience
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- natural sciencesbiological sciencesecology
Call for proposal
FP7-ICT-2009-6
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)
Coordinator Contact
Coordinator
4 Dublin
Ireland
Participants (9)
20009 Donostia/san Sebastian (Gipuzkoa)
Participation ended
48170 Zamudio
46988 Paterna
A94 K542 Blackrock
00185 Roma
56118 Pisa
56126 Pisa
70182 Orebro
BT52 1SA Coleraine
