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Symbiotic Evolutionary Robot Organisms

Objective

The main focus of this project is to investigate and develop novel principles of adaptation and evolution for symbiotic multi-robot organisms based on bio-inspired approaches and modern computing paradigms. Such robot organisms will consist of super-large-scale swarms of robots, which can dock with each other and symbiotically share energy and computational resources within a single artificial-life-form. When it is advantageous to do so, these swarm robots can dynamically aggregate into one or many symbiotic organisms and collectively interact with the physical world via a variety of sensors and actuators. The bio-inspired evolutionary paradigms combined with robot embodiment and swarm-emergent phenomena, enable the organisms to autonomously manage their own hardware and software organization. In this way, artificial robotic organisms become self-configuring, self-healing, self-optimizing and self-protecting from both hardware and software perspectives. This leads not only to extremely adaptive, evolve-able and scalable robotic systems, but also enables robot organisms to reprogram themselves without human supervision and for new, previously unforeseen, functionality to emerge. In addition, different symbiotic organisms may co-evolve and cooperate with each other and with their environment.The extraordinary potential and capability of autonomous large-scale symbiotic self-aggregation, reprogramming and evolution would open-up a wide range of current and future applications. The main application scenarios of such artificial organisms would be human-free environments with a high degree of danger or uncertainty as e.g. hazardous or space environments. The consortium represents leading organizations in different research fields and provides the critical mass of expertise and resources. The core of consortium is already participating in other robotic projects, as e.g. I-Swarm or MiCRoN thus demonstrating the high level of competence and credibility of this proposal.

Coordinator

UNIVERSITAET STUTTGART

Address

Keplerstrasse 7
70174 Stuttgart

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 180 700

Administrative Contact

Michael Matthiesen (Mr.)

Participants (13)

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UNIVERSITAET GRAZ

Austria

EU Contribution

€ 536 000

UNIVERSITE LIBRE DE BRUXELLES

Belgium

EU Contribution

€ 454 400

VIB

Belgium

EU Contribution

€ 419 900

CESKE VYSOKE UCENI TECHNICKE V PRAZE

Czechia

EU Contribution

€ 403 320

EBERHARD KARLS UNIVERSITAET TUEBINGEN

Germany

EU Contribution

€ 433 280

KARLSRUHER INSTITUT FUER TECHNOLOGIE

Germany

EU Contribution

€ 574 080

UNIVERSITAET KARLSRUHE (TECHNISCHE HOCHSCHULE)

Germany

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 420 880

STICHTING VU

Netherlands

EU Contribution

€ 452 400

VERENIGING VOOR CHRISTELIJK HOGER ONDERWIJS WETENSCHAPPELIJK ONDERZOEK EN PATIENTENZORG

Netherlands

UNIVERSITY OF YORK

United Kingdom

EU Contribution

€ 467 400

UNIVERSITY OF THE WEST OF ENGLAND, BRISTOL

United Kingdom

EU Contribution

€ 455 840

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

Project information

Grant agreement ID: 216342

Status

Closed project

  • Start date

    1 February 2008

  • End date

    31 July 2013

Funded under:

FP7-ICT

  • Overall budget:

    € 7 452 801

  • EU contribution

    € 5 798 200

Coordinated by:

UNIVERSITAET STUTTGART

Germany