RoboEarth

RoboEarth: robots sharing a knowledge base for world modelling and learning of actions

 Coordinatore TECHNISCHE UNIVERSITEIT EINDHOVEN 

 Organization address address: Den Dolech 2
city: EINDHOVEN
postcode: 5612 AZ

contact info
Titolo: Dr.
Nome: Rene
Cognome: vd Molengraft
Email: send email
Telefono: +31 40 247 2998
Fax: + 31 40 246 1418

 Nazionalità Coordinatore Netherlands [NL]
 Totale costo 5˙613˙559 €
 EC contributo 3˙958˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2009-4
 Funding Scheme CP
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-12-01   -   2013-11-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT EINDHOVEN

 Organization address address: Den Dolech 2
city: EINDHOVEN
postcode: 5612 AZ

contact info
Titolo: Dr.
Nome: Rene
Cognome: vd Molengraft
Email: send email
Telefono: +31 40 247 2998
Fax: + 31 40 246 1418

NL (EINDHOVEN) coordinator 0.00
2    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Raffaello
Cognome: D'Andrea
Email: send email
Telefono: +41 44 632 8060

CH (ZUERICH) participant 0.00
3    PHILIPS ELECTRONICS NEDERLAND B.V.

 Organization address address: Boschdijk
city: EINDHOVEN
postcode: 5621JG

contact info
Titolo: Mr.
Nome: Ard
Cognome: Nieuwenhuis
Email: send email
Telefono: +31 402740342
Fax: +31 402746123

NL (EINDHOVEN) participant 0.00
4    TECHNISCHE UNIVERSITAET MUENCHEN

 Organization address address: Arcisstrasse
city: MUENCHEN
postcode: 80333

contact info
Titolo: Ms.
Nome: Ulrike
Cognome: Ronchetti
Email: send email
Telefono: -28922656
Fax: -28922660

DE (MUENCHEN) participant 0.00
5    UNIVERSIDAD DE ZARAGOZA

 Organization address address: CALLE PEDRO CERBUNA
city: Zaragoza
postcode: 50009

contact info
Titolo: Mr.
Nome: oscar
Cognome: Lopez
Email: send email
Telefono: 34976761000

ES (Zaragoza) participant 0.00
6    UNIVERSITAET STUTTGART

 Organization address address: Keplerstrasse
city: STUTTGART
postcode: 70174

contact info
Titolo: Mr.
Nome: Michael
Cognome: Matthiesen
Email: send email
Telefono: +49 711 7816 414
Fax: +49 711 7816 248

DE (STUTTGART) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

robots    roboearth    drink    demonstrator    hardware    robot    meal    action    patient    screw    hospital    database    learning    configuration    sensing    cap   

 Obiettivo del progetto (Objective)

The RoboEarth-project exploits a new approach towards endowing robots with advanced perception and action capabilities, thus enabling robots to carrying out useful tasks autonomously. The core of the innovation involves a world-wide web-style database: RoboEarth. RoboEarth will allow robots to share any reusable knowledge independent from their hardware and configuration. When a robot starts performing a task, it is able to download available high-level knowledge on both task and environment; next, it can use and translate this knowledge to its hardware specifications and its configuration and will improve it by learning during the task. Finally, it will upload its knowledge to RoboEarth again. As a result of the proposed project, major innovations are expected in the fields of: 3D sensing, control strategies and learning. Next to these, RoboEarth will contribute to a more modular design of robotic systems; robot hardware with a hardware abstraction layer for RoboEarth will be enough to build a functional robot. A series of six demonstrators will show the contributions of the project. The Action Recipe demonstrator will show robots creating/uploading and downloading/executing action recipes (abstract behaviour or algorithm descriptions in the RoboEarth database) to and from RoboEarth. The Ask Meal demonstrator will present meal options to a patient in a hospital room. The Serve Drink demonstrator will integrate 3D-sensing in the task by presenting a drink to the patient. The Screw Cap demonstrator will add improvement of the task by learning to remove the screw cap from a bottle. The Family Visit demonstrator focuses on the integration of dynamic object tracking into RoboEarth. Finally, the A Week In The Hospital demonstrator will show that history data from RoboEarth will enable a robot to improve its performance.nThe research and technological development the RoboEarth consortium proposes to undertake will pave the way for completely new markets.

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