ASSISI_bf

Animal and robot Societies Self-organise and Integrate by Social Interaction

Coordinatore	UNIVERSITAET GRAZ    more  Organization address address: Universitaetsplatz 2 city: Graz contact info Titolo: Ms. Nome: Sibylle Cognome: Hahshold Email: send email Telefono: +0043 316 380 3981 Fax: +0043 316 380 9871
Nazionalità Coordinatore	Austria [AT]
Totale costo	7˙649˙939 €
EC contributo	6˙007˙664 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2011-9
Funding Scheme	CP
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-02-01   -   2018-01-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITAET GRAZ  Organization address address: Universitaetsplatz 2 city: Graz contact info Titolo: Ms. Nome: Sibylle Cognome: Hahshold Email: send email Telefono: +0043 316 380 3981 Fax: +0043 316 380 9871	AT (Graz)	coordinator	0.00
2	CYBERTRONICA UG (HAFTUNGSBESCHRANKT) GMBH  Organization address address: MELUNERSTRASSE city: STUTTGART contact info Titolo: Ms. Nome: Olga Cognome: Kernbach Email: send email Telefono: +49 711 7674337	DE (STUTTGART)	participant	0.00
3	ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE  Organization address address: BATIMENT CE 3316 STATION 1 city: LAUSANNE contact info Titolo: Prof. Nome: Hannes Cognome: Bleuler Email: send email Telefono: +41 21 6935927 Fax: +41 21 693 78 07	CH (LAUSANNE)	participant	0.00
4	FACULDADE DE CIENCIAS DA UNIVERSIDADE DE LISBOA  Organization address address: CAMPO GRANDE C5 PISO city: LISBOA contact info Titolo: Dr. Nome: Silvia Cognome: Gomes Email: send email Telefono: +351 217 500 241 Fax: +351 217 500 115	PT (LISBOA)	participant	0.00
5	FUNDACAO DA FACULDADE DE CIENCIAS DA UNIVERSIDADE DE LISBOA  Organization address address: CAMPO GRANDE EDIFICIO C1 PISO city: LISBOA contact info Titolo: Dr. Nome: Hélia Cognome: Rodrigues Email: send email Telefono: +351 217 500 448 Fax: +351 217 500 166	PT (LISBOA)	participant	0.00
6	SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA  Organization address address: UNSKA city: ZAGREB contact info Titolo: Prof. Nome: Stjepan Cognome: Bogdan Email: send email Telefono: +3851 6129644 Fax: +3851 6129785	HR (ZAGREB)	participant	0.00
7	UNIVERSITE PARIS DIDEROT - PARIS 7  Organization address address: RUE THOMAS MANN city: PARIS cedex 13 contact info Titolo: Ms. Nome: Anne Cognome: BONVALET Email: send email Telefono: +33 1 57 27 55 59 Fax: +33 1 57 27 66 62	FR (PARIS cedex 13)	participant	0.00

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 Obiettivo del progetto (Objective)

The aim of ASSISI_bf is to develop (1) a fundamental new class of distributed ICT systems, which are bio-hybrid collective adaptive systems (CASs) that consist of two sub-systems: One is a self-organising society of animals; the other one is a society of technical devices. These CASs will solve problems by distributed spatial computation; this heterogeneous system (animals, robots, nodes) will perform collective decision-making and maintain internal homeostasis. (2) We plan to develop a fundamental new method to design CASs by exploiting evolutionary computation on mathematical models that are used to drive the engineered part of the CAS. This way the collective of animals and robots will adapt to environmental changes and will maximize its efficiency and stability. (3) We will develop several novel benchmarks, using the level of acceptance of robots by the animal society as a hard-to-reach criterion. (4) Finally, we will derive a general model for heterogeneous CASs, which will be used to develop new algorithms for other heterogeneous robotic CASs. We address all 3 principles that should be researched for CASs, which are: design, operation and evolution. The project tackles several severe engineering challenges. It has a high potential of impact and foundational character on several communities. On the one hand it has the potential to establish a new field of science, which focuses on self-adapting engineered systems able to integrate themselves into an existing natural society. On the other hand, the proposed long-term impact reaches from establishing important new methods in agriculture, environmental sustainability policies, live stock management, environmental monitoring, bio-hybrid engineering and pharmaceutical industry, as our proposed technology allows fully automated (but non-invasive, non-harmful) experimentation with social animals. By deducting models and algorithms our project can also influence and promote general research of distributed ICT systems.