Community Research and Development Information Service - CORDIS

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CoCoRo

Project reference: 270382
Funded under

Collective Cognitive Robots

From 2011-04-01 to 2014-09-30

Project details

Total cost:

EUR 3 755 902

EU contribution:

EUR 2 869 998

Coordinated in:

Austria

Call for proposal:

FP7-ICT-2009-6See other projects for this call

Funding scheme:

CP - Collaborative project (generic)
The CoCoRo project aims at developing a swarm of autonomous underwater vehicles (AUVs) that are able to interact with each other and which can balance tasks such as ecological monitoring, searching, maintaining, exploring and harvesting resources in underwater habitats. The swarm will maintain swarm integrity under conditions of dynamically changing environments. This will be achieved by letting the AUVs interact with each other and exchange information, resulting in a cognitive system that is aware of its environment, of local individual goals and threats and of global swarm-level goals and threats. This can be exploited for improving the robustness, flexibility and efficiency of other technical applications in the field of ICT.

Objective

This ambitious project aims at creating a swarm of interacting, cognitive, autonomous robots. We will develop a swarm of autonomous underwater vehicles (AUVs) that are able to interact with each other and which can balance tasks (interactions between/within swarms). These tasks are: ecological monitoring, searching, maintaining, exploring and harvesting resources in underwater habitats. The swarm will maintain swarm integrity under conditions of dynamically changing environments and will therefore require robustness and flexibility. This will be achieved by letting the AUVs interact with each other and exchange information, resulting in a cognitive system that is aware of its environment, of local individual goals and threats and of global swarm-level goals and threats. Our consortium consists of both, biological and technical institutions and is therefore optimally qualified to achieve this goal.By a combination of locally acting and globally acting self-organizing mechanisms, information from the global level flows into the local level and influences the behaviour of individual AUVs. Such a cognitive-based scheme creates a very fast reaction of the whole collective system when optimizing the global performance. As shown by natural swimming fish swarms, such mechanisms are also flexible and scalable. The usage of cognition-generating algorithms can even allow robotic swarms to mimic each other's behaviour and to learn from each other adequate reactions to environmental changes. In addition, we plan to investigate the emergence of artificial collective pre-consciousness, which leads to self-identification and further improvement of collective performance. In this way we explore several general principles of swarm-level cognition and can assess their importance in real-world applications. This can be exploited for improving the robustness, flexibility and efficiency of other technical applications in the field of ICT.

Related information

Open Access

Coordinator

UNIVERSITAET GRAZ
Austria

EU contribution: EUR 810 420


Universitaetsplatz 2
8010 Graz
Austria
Administrative contact: Thomas Schmickl
Tel.: +43 316 3808759
Fax: +43 316 3809875
E-mail

Participants

UNIVERSITE LIBRE DE BRUXELLES
Belgium

EU contribution: EUR 508 530


Avenue Franklin Roosevelt 50
1050 BRUXELLES
Belgium
Administrative contact: Christine Courillon
Tel.: +32 2 6506718
Fax: +32 2 6502321
E-mail
UNIVERSITAET STUTTGART
Germany

EU contribution: EUR 514 668


KEPLERSTRASSE 7
70174 STUTTGART
Germany
Administrative contact: Michael Matthiesen
Tel.: +49 711 7816414
Fax: +49 711 78161414
E-mail
SCUOLA SUPERIORE DI STUDI UNIVERSITARI E DI PERFEZIONAMENTO SANT'ANNA
Italy

EU contribution: EUR 529 640


PIAZZA MARTIRI DELLA LIBERTA 33
56127 PISA
Italy
Administrative contact: Paolo DARIO
Tel.: +39 050 883420
Fax: +39 050 883497
E-mail
UNIVERSITY OF YORK
United Kingdom

EU contribution: EUR 506 740


HESLINGTON HALL
YO10 5DD YORK
United Kingdom
Administrative contact: Chris Barber
Tel.: +44 1904 434416
Fax: +44 1904 434119
E-mail
Record Number: 97473 / Last updated on: 2016-04-02