COLLMOT
Complex structure and dynamics of collective motion
| Coordinatore | EOTVOS LORAND TUDOMANYEGYETEM
Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie. |
| Nazionalità Coordinatore | Hungary [HU] |
| Totale costo | 1˙248˙000 € |
| EC contributo | 1˙248˙000 € |
| Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | ERC-2008-AdG |
| Funding Scheme | ERC-AG |
| Anno di inizio | 2009 |
| Periodo (anno-mese-giorno) | 2009-03-01 - 2015-02-28 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
EOTVOS LORAND TUDOMANYEGYETEM
Organization address
address: EGYETEM TER 1-3 contact info |
HU (BUDAPEST) | hostInstitution | 1˙248˙000.00 |
| 2 |
EOTVOS LORAND TUDOMANYEGYETEM
Organization address
address: EGYETEM TER 1-3 contact info |
HU (BUDAPEST) | hostInstitution | 1˙248˙000.00 |
Mappa
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Obiettivo del progetto (Objective)
'Collective behaviour is a widespread phenomenon in nature and technology making it a very important subject to study in various contexts. The main goal we intend to achieve in our multidisciplinary research is the identification and documentation of new unifying principles describing the essential aspects of collective motion, being one of the most relevant and spectacular manifestations of collective behaviour. We shall carry out novel type of experiments, design models that are both simple and realistic enough to reproduce the observations and develop concepts for a better interpretation of the complexity of systems consisting of many organisms and such non-living objects as interacting robots. We plan to study systems ranging from cultures of migrating tissue cells through flocks of birds to collectively moving devices. The interrelation of these systems will be considered in order to deepen the understanding of the main patterns of group motion in both living and non-living systems by learning about the similar phenomena in the two domains of nature. Thus, we plan to understand the essential ingredients of flocking of birds by building collectively moving unmanned aerial vehicles while, in turn, high resolution spatiotemporal GPS data of pigeon flocks will be used to make helpful conclusions for the best designs for swarms of robots. In particular, we shall construct and build a set of vehicles that will be capable, for the first time, to exhibit flocking behaviour in the three-dimensional space. The methods we shall adopt will range from approaches used in statistical physics and network theory to various new techniques in cell biology and collective robotics. All this will be based on numerous prior results (both ours and others) published in leading interdisciplinary journals. The planned research will have the potential of leading to ground breaking results with significant implications in various fields of science and technology.'