ROSETTA

RObot control for Skilled ExecuTion of Tasks in natural interaction with humans; based on Autonomy, cumulative knowledge and learning

 Coordinatore ABB AB 

 Organization address postcode: 721 68

contact info
Titolo: Dr.
Nome: Mikael
Cognome: Hedelind
Email: send email
Telefono: -323016
Fax: -142165

 Nazionalità Coordinatore Sweden [SE]
 Totale costo 10˙425˙805 €
 EC contributo 7˙500˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2007-3
 Funding Scheme CP
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-03-01   -   2013-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1 ABB AB SE coordinator 0.00
2    ABB AG

 Organization address address: KALLSTADTER STRASSE
city: MANNHEIM
postcode: 68309

contact info
Titolo: Mr.
Nome: Jürgen
Cognome: Friedrich
Email: send email
Telefono: -722271
Fax: -722261

DE (MANNHEIM) participant 0.00
3    DYNAMORE GESELLSCHAFT FUER FEM INGENIEURLEISTUNGEN MBH

 Organization address address: Industrie Strasse
city: STUTTGART
postcode: 70565

contact info
Titolo: Dr.
Nome: Thomas
Cognome: Münz
Email: send email
Telefono: -4596662
Fax: -45960691

DE (STUTTGART) participant 0.00
4    FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V

 Organization address address: Hansastrasse
city: MUENCHEN
postcode: 80686

contact info
Titolo: Mr.
Nome: Walter
Cognome: Krause
Email: send email
Telefono: -12052753
Fax: -12057574

DE (MUENCHEN) participant 0.00
5    KATHOLIEKE UNIVERSITEIT LEUVEN

 Organization address address: Oude Markt
city: LEUVEN
postcode: 3000

contact info
Titolo: Ms.
Nome: Maria
Cognome: Vereeken
Email: send email
Telefono: -326488
Fax: -326499

BE (LEUVEN) participant 0.00
6    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN

 Organization address address: Geschwister-Scholl-Platz
city: MUENCHEN
postcode: 80539

contact info
Titolo: Dr.
Nome: Erich
Cognome: Schuller
Email: send email
Telefono: -75580
Fax: -75229

DE (MUENCHEN) participant 0.00
7    LUNDS UNIVERSITET

 Organization address address: Paradisgatan
city: LUND
postcode: 22100

contact info
Titolo: Mr.
Nome: Anders
Cognome: Rantzer
Email: send email
Telefono: -2228778
Fax: -138118

SE (LUND) participant 0.00
8    POLITECNICO DI MILANO

 Organization address address: PIAZZA LEONARDO DA VINCI
city: MILANO
postcode: 20133

contact info
Titolo: Mr.
Nome: Fabio
Cognome: Conti
Email: send email
Telefono: -23993394
Fax: -23993400

IT (MILANO) participant 0.00

Mappa


 Word cloud

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

controller    representations    sensing    error    humans    robot       human    safe    physical    decision    robots    interaction    sensor    line    repository   

 Obiettivo del progetto (Objective)

The ROSETTA project develops a new generation of robot controller technology for human-like industrial robots working together with humans. The control system uses a variety of sensor-based skills, together with knowledge about how to adapt them on-line to the concrete situation. The controller executes complex tasks with a high degree of autonomy, because it has network access to a knowledge repository and management system. The knowledge repository receives feedback from a population of installed robot systems, that have received their programmes from the repository earlier, and that now share their individual improvements and experiences. The knowledge repository can thus improve and extend itself at an unprecedented fast rate.nThis will result in:n- A new paradigm for engineering & instructing of robots, based on robot task and skill representations. Human programmers will be able to build a robot application using task-level instructions, embedding knowledge about the sensing, planning, control and decision making that is appropriate for the task. A breakthrough will be finding representations of all types of knowledge required in the envisaged production application. These results will be implemented on a controller and tested in an assembly application with human-like robots, with on-line error detection and error recovery, using adaptive hybrid control for self-improvement, and natural language interaction.n- New sensing, control and decision making methods for safe physical human-robot interaction. This includes new functionalities that are 'human-centred': the controller has knowledge about how it could inflict injuries on humans, and how to avoid them, and it is equipped with sensors, sensor processing and reasoning capabilities to find the optimal trade-off between effective progress in its task and safe and psychologically acceptable physical interaction with the human co-worker(s), which will be subject to standardisation efforts.

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ULOOP (2010)

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