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DEXMART

Financiado

Cerrado

DEXterous and autonomous dual arm hand robotic manipulation nwith sMART sensory...

DEXterous and autonomous dual arm hand robotic manipulation nwith sMART sensory motor skills A bridge from natural to artificial cognition The DEXMART project is focused on artificial systems reproducing smart sensory-motor human skills, which operate in unstructured real-world environments. The emphasis is on manipulation capabilities achieved by dexterous and auton... ver más

31/01/2012

UNINA

8M€

Presupuesto del proyecto: 8M€

Líder del proyecto

UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2012-01-31 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.

9 Participantes

UNINA

0.00€ | Lider

FZI

N.D. | Participante

DLR

N.D. | Participante

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Líder del proyecto

UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 8M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The DEXMART project is focused on artificial systems reproducing smart sensory-motor human skills, which operate in unstructured real-world environments. The emphasis is on manipulation capabilities achieved by dexterous and autonomous, and also human aware dual-arm/hand robotic systems. The goal is to allow a dual-arm robot including two multi-fingered redundant hands to grasp and manipulate the same objects used by human beings. The objects shall be allowed to have different shape, dimension and weight. The manipulation will take place in an unsupervised, robust and dependable manner so as to allow the robot to safely cooperate with humans for the execution of given tasks. The robotic system has to possess the ability to autonomously decide between different manipulation options. It has to properly and quickly react to unexpected situations and events as well as understand changes in the behaviour of humans cooperating with it. Moreover, in order to act in a changing scenario, the robot should be able to acquire knowledge by learning new action sequences so as to create a consistent and comprehensive manipulation knowledge base through an actual reasoning process. The possibility to exploit the high power-to-weight ratio of smart materials and structures will be explored aimed at the design of new hand components (finger, thumb, wrist) and sensors that will pave the way for the next generation of dexterous robotic hands.

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