ORATOR

Integrating Object Recognition and ActiOn for action sentence production and comprehension in a developmental humanoid Robot

 Coordinatore UNIVERSITY OF PLYMOUTH 

 Organization address address: DRAKE CIRCUS
city: PLYMOUTH
postcode: PL4 8AA

contact info
Titolo: Dr.
Nome: John
Cognome: Martin
Email: send email
Telefono: +44 1752 588931

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 221˙606 €
 EC contributo 221˙606 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-05-15   -   2015-07-15

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY OF PLYMOUTH

 Organization address address: DRAKE CIRCUS
city: PLYMOUTH
postcode: PL4 8AA

contact info
Titolo: Dr.
Nome: John
Cognome: Martin
Email: send email
Telefono: +44 1752 588931

UK (PLYMOUTH) coordinator 221˙606.40

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 Word cloud

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perform    robots    language    suggest    child    cognitive    sometimes    robotics    skills    errors    developmental    motor    children    models    action   

 Obiettivo del progetto (Objective)

'Recent models from cognitive robotics research have recently begun to appreciate the entwined relationship between language and action, and have proposed to ground robots’ language understanding in sensorimotor representations. These models, however, focused mainly on the one-way relation between language and action, neglecting its bi-directional character. Hence, the primary aim of this research is to provide an experimental and computational framework for explaining how the processes of language interact with other processes such as motor control. We intend to tackle this issue from the developmental robotics perspective. This highly interdisciplinary field of robotics benefits greatly from the direct collaboration with child psychologists and the modeling of child development phenomena in robots. One classic approach to studying child development is to look at the errors that children sometimes commit. Young children, for example, sometimes make a serious attempt to perform impossible actions on miniature objects. We suggest that these errors may result from the onsets of language and propose to test it empirically: does a child with a larger vocabulary and/or more advanced grammatical skills perform more errors than a less advanced child? The hypotheses derived from the study will be replicated in experiments with the developmental robotics platform iCub to demonstrate the impact of such an embodied cognitive approach in the design of integrated action and language capabilities in robots. This research will contribute to the knowledge of cross-talk between language and motor structures and suggest a possible developmental mechanism, and endow a robot with the ability to comprehend sentences on object interaction. The fellowship will also provide the researcher with an opportunity to further develop multidisciplinary skills in child psychology and developmental robotics methods, and transferable skills for R&D in academia and service robotics industry.'

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