ASSISI_bf
Animal and robot Societies Self-organise and Integrate by Social Interaction
| Coordinatore | UNIVERSITAET GRAZ
Organization address
address: Universitaetsplatz 2 contact info |
| 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
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITAET GRAZ
Organization address
address: Universitaetsplatz 2 contact info |
AT (Graz) | coordinator | 0.00 |
| 2 |
CYBERTRONICA UG (HAFTUNGSBESCHRANKT) GMBH
Organization address
address: MELUNERSTRASSE contact info |
DE (STUTTGART) | participant | 0.00 |
| 3 |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address
address: BATIMENT CE 3316 STATION 1 contact info |
CH (LAUSANNE) | participant | 0.00 |
| 4 |
FACULDADE DE CIENCIAS DA UNIVERSIDADE DE LISBOA
Organization address
address: CAMPO GRANDE C5 PISO contact info |
PT (LISBOA) | participant | 0.00 |
| 5 |
FUNDACAO DA FACULDADE DE CIENCIAS DA UNIVERSIDADE DE LISBOA
Organization address
address: CAMPO GRANDE EDIFICIO C1 PISO contact info |
PT (LISBOA) | participant | 0.00 |
| 6 |
SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA
Organization address
address: UNSKA contact info |
HR (ZAGREB) | participant | 0.00 |
| 7 |
UNIVERSITE PARIS DIDEROT - PARIS 7
Organization address
address: RUE THOMAS MANN contact info |
FR (PARIS cedex 13) | participant | 0.00 |
Mappa
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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.