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EFAA

Financiado

Cerrado

Experimental Functional Android Assistant EFAA

As the introduction of robots into our daily life becomes a reality, the social compatibility of such robots gains importance. In order to meaningfully interact with humans, robots must develop an advanced real-world social intell... ver más

31/12/2013

UPF

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

UNIVERSITAT POMPEU FABRA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 322

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2013-12-31 No tenemos la información de la convocatoria

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

6 Participantes

UPF

0.00€ | Lider

IMPERIAL COLLEGE OF SCIENCE...

N.D. | Participante

IIT

N.D. | Participante

CNRS

N.D. | Participante

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Líder del proyecto

UNIVERSITAT POMPEU FABRA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 322

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto As the introduction of robots into our daily life becomes a reality, the social compatibility of such robots gains importance. In order to meaningfully interact with humans, robots must develop an advanced real-world social intelligence that includes novel perceptual, behavioural, emotional, motivational and cognitive capabilities. The Experimental Functional Android Assistant (EFAA) project will contribute to the development of socially intelligent humanoids by advancing the state of the art in both single human-like social capabilities and in their integration in a consistent architecture.The EFAA project proposes a biomimetic, brain-inspired approach. The central assumption of EFAA is that social robots must develop a sense of self as to overcome the fundamental problem of social inference. It is only in possessing the core aspects of a human-like self, that inferences about others can be made through analogy. The EFAA Biomimetic Architecture for Situated Social Intelligence Systems, called BASSIS, is based on our growing understanding of the neuronal mechanisms and psychological processes underlying social perception, cognition and action and will exploit the availability, amongst the members of the consortium, of a number of complementary prototype robot-based perceptual, cognitive and motor architectures. By integrating across these existing architectures, by directing focused effort on specific core problems, and by exploiting the availability of unique advanced real-time neuronal simulation and hardware, the impact of the EFAA project is assured.The EFAA project will apply and benchmark BASSIS on a mobile humanoid assistant based on the iCub platform. The resultant system, EFAA, will actively engage in social interactions and interactive cognitive tasks. To facilitate the realization of these game like interactions and the performance analysis will be facilitated through a mixed-reality interaction paradigm using a table-top tangible interface system.

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