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RoboEarth

Financiado

Cerrado

RoboEarth robots sharing a knowledge base for world modelling and learning of a...

RoboEarth robots sharing a knowledge base for world modelling and learning of actions The RoboEarth-project exploits a new approach towards endowing robots with advanced perception and action capabilities, thus enabling robots to carrying out useful tasks autonomously. The core of the innovation involves a world-wi... ver más

30/11/2013

TU/e

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto

TECHNISCHE UNIVERSITEIT EINDHOVEN 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 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2013-11-30 No tenemos la información de la convocatoria

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

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

6 Participantes

TU/e

0.00€ | Lider

UNIZAR

N.D. | Participante

TUM

N.D. | Participante

ETH Zürich

N.D. | Participante

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Líder del proyecto

TECHNISCHE UNIVERSITEIT EINDHOVEN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The RoboEarth-project exploits a new approach towards endowing robots with advanced perception and action capabilities, thus enabling robots to carrying out useful tasks autonomously. The core of the innovation involves a world-wide web-style database: RoboEarth. RoboEarth will allow robots to share any reusable knowledge independent from their hardware and configuration. When a robot starts performing a task, it is able to download available high-level knowledge on both task and environment; next, it can use and translate this knowledge to its hardware specifications and its configuration and will improve it by learning during the task. Finally, it will upload its knowledge to RoboEarth again. As a result of the proposed project, major innovations are expected in the fields of: 3D sensing, control strategies and learning. Next to these, RoboEarth will contribute to a more modular design of robotic systems; robot hardware with a hardware abstraction layer for RoboEarth will be enough to build a functional robot. A series of six demonstrators will show the contributions of the project. The Action Recipe demonstrator will show robots creating/uploading and downloading/executing action recipes (abstract behaviour or algorithm descriptions in the RoboEarth database) to and from RoboEarth. The Ask Meal demonstrator will present meal options to a patient in a hospital room. The Serve Drink demonstrator will integrate 3D-sensing in the task by presenting a drink to the patient. The Screw Cap demonstrator will add improvement of the task by learning to remove the screw cap from a bottle. The Family Visit demonstrator focuses on the integration of dynamic object tracking into RoboEarth. Finally, the A Week In The Hospital demonstrator will show that history data from RoboEarth will enable a robot to improve its performance.<br/>The research and technological development the RoboEarth consortium proposes to undertake will pave the way for completely new markets.<br/><br/>

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