EARS

Embodied Audition for RobotS

 Coordinatore FRIEDRICH-ALEXANDER-UNIVERSITAT ERLANGEN NURNBERG 

 Organization address address: SCHLOSSPLATZ 4
city: ERLANGEN
postcode: 91054

contact info
Titolo: Ms.
Nome: Franziska
Cognome: Müller
Email: send email
Telefono: +49 9131 8526474
Fax: +49 9131 8526239

 Nazionalità Coordinatore Germany [DE]
 Totale costo 4˙631˙728 €
 EC contributo 3˙519˙981 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2013-10
 Funding Scheme CP
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-01-01   -   2016-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FRIEDRICH-ALEXANDER-UNIVERSITAT ERLANGEN NURNBERG

 Organization address address: SCHLOSSPLATZ 4
city: ERLANGEN
postcode: 91054

contact info
Titolo: Ms.
Nome: Franziska
Cognome: Müller
Email: send email
Telefono: +49 9131 8526474
Fax: +49 9131 8526239

DE (ERLANGEN) coordinator 0.00
2    ALDEBARAN ROBOTICS SAS

 Organization address address: RUE RAYMOND LOSSERAND 168 BIS 170
city: PARIS
postcode: 75014

contact info
Titolo: Ms.
Nome: Petra
Cognome: Koudelkova
Email: send email
Telefono: 33177371775
Fax: 33177371751

FR (PARIS) participant 0.00
3    BEN-GURION UNIVERSITY OF THE NEGEV

 Organization address address: Office of the President - Main Campus
city: BEER SHEVA
postcode: 84105

contact info
Titolo: Ms.
Nome: Tripto
Cognome: Daphna
Email: send email
Telefono: +972 8 6472443
Fax: +972 8 6472930

IL (BEER SHEVA) participant 0.00
4    HUMBOLDT-UNIVERSITAT ZU BERLIN

 Organization address address: UNTER DEN LINDEN
city: BERLIN
postcode: 10099

contact info
Titolo: Ms.
Nome: Renate
Cognome: Ubachs
Email: send email
Telefono: 493021000000
Fax: +49 30 2093 1660

DE (BERLIN) participant 0.00
5    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: Exhibition Road, South Kensington Campus
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Mr.
Nome: Shaun
Cognome: Power
Email: send email
Telefono: +44 207 594 8773
Fax: +44 207 594 8609

UK (LONDON) participant 0.00
6    INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

 Organization address address: Domaine de Voluceau, Rocquencourt
city: LE CHESNAY Cedex
postcode: 78153

contact info
Titolo: Mrs.
Nome: Christine
Cognome: ZAMPAOLO
Email: send email
Telefono: +334 7661 5306

FR (LE CHESNAY Cedex) participant 0.00

Mappa


 Word cloud

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

acoustic    industry    extract    environments    ears    environment    communication    desired    audition    scenario    vision    auditory    human    robot    natural    real    signals    limitations    hri    humans    world   

 Obiettivo del progetto (Objective)

The success of future natural intuitive human-robot interaction (HRI) will critically depend on how responsive the robot will be to all forms of human expressions and how well it will be aware of its environment. With acoustic signals distinctively characterizing physical environments and speech being the most effective means of communication among humans, truly humanoid robots must be able to fully extract the rich auditory information from their environment and to use voice communication as much as humans do. While vision-based HRI is well developed, current limitations in robot audition do not allow for such an effective, natural acoustic human-robot communication in real-world environments, mainly because of the severe degradation of the desired acoustic signals due to noise, interference and reverberation when captured by the robot's microphones. To overcome these limitations, EARS will provide intelligent 'ears' with close-to-human auditory capabilities and use it for HRI in complex real-world environments. Novel microphone arrays and powerful signal processing algorithms shall be able to localise and track multiple sound sources of interest and to extract and recognize the desired signals. After fusion with robot vision, embodied robot cognition will then derive HRI actions and knowledge on the entire scenario, and feed this back to the acoustic interface for further auditory scene analysis. As a prototypical application, EARS will consider a welcoming robot in a hotel lobby offering all the above challenges. Representing a large class of generic applications, this scenario is of key interest to industry and, thus, a leading European robot manufacturer will integrate EARS's results into a robot platform for the consumer market and validate it. In addition, the provision of open-source software and an advisory board with key players from the relevant robot industry should help to make EARS a turnkey project for promoting audition in the robotics world.

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