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Reconstructing the Past: Artificial Intelligence and Robotics Meet Cultural Heritage

Descripción del proyecto

DEENESFRITPL

Un sistema robótico nuevo recompone artefactos antiguos

La reconstrucción física de obras de arte fragmentadas constituye uno de los pasos más laboriosos de la investigación arqueológica. Las excavaciones en yacimientos arqueológicos proporcionan incontables artefactos antiguos dañados como, por ejemplo, jarrones, ánforas y frescos. El proyecto financiado con fondos europeos RePAIR facilitará el proceso de reconstrucción para devolver a la vida obras de arte antiguas. En concreto, se desarrollará un sistema robótico inteligente que puede procesar, emparejar y ensamblar físicamente de manera autónoma grandes artefactos fracturados en una fracción del tiempo requerido por las personas. Este nuevo sistema se evaluará en estudios de caso emblemáticos del sitio del Patrimonio Mundial de la UNESCO de Pompeya. Se restaurarán dos frescos mundialmente conocidos cuyos miles de fragmentos están guardados hoy día en almacenes.

Objetivo

Our goal with this project is to develop a ground-breaking technology to virtually eliminate one of the most labour-intensive and frustrating steps in archaeological research, namely the physical reconstruction of shattered artworks. Indeed, countless vases, amphoras, frescos and other ancient artefacts, all over the world, have not survived intact and were dug out from excavation sites as large collections of fragments, many of which are damaged, worn out or missing altogether. Reconstruction of small artefacts is typically done by experienced operators, possibly with the assistance of dedicated software, but when the number of fragments is large (say, of the order of thousands) manual or computer-assisted restoration is simply hopeless. This prevents a large fraction of the world’s cultural heritage from being openly accessible to scholars as well as the general public. By developing and integrating novel technologies in the fields of robotics, computer vision and artificial intelligence, we envisage a future where archaeology can deal effectively with reconstruction problems at an unprecedented scale and be able to bring back to life ancient artworks and masterpieces which would otherwise remain broken into pieces forever. Specifically, we aim to develop an intelligent robotic system which will autonomously process, match and physically assemble large fractured artefacts at a fraction of the time it takes humans to do. The level of ambition of our proposal poses several challenges that cannot be satisfactorily addressed with off-the-shelf technologies, and hence we shall develop brand-new solutions that will push the boundaries of research in the fields of robotics and computer vision. Our system will be tested over iconic case studies from the UNESCO World Heritage site of Pompeii, and one tangible outcome of the project will be to restore two world-renowned frescos which are now shattered into thousands of fragments and forgotten in storerooms.

Ámbito científico

Palabras clave

Programa(s)

Tema(s)

Convocatoria de propuestas

H2020-FETOPEN-2018-2020

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Convocatoria de subcontratación

H2020-FETOPEN-2018-2019-2020-01

Régimen de financiación

RIA - Research and Innovation action

Coordinador

UNIVERSITA CA' FOSCARI VENEZIA
Aportación neta de la UEn
€ 586 066,00
Dirección
Dorsoduro 3246
30123 Venezia
Italia

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Región
Nord-Est Veneto Venezia
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Otras fuentes de financiación
€ 0,25

Participantes (5)

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Última actualización: 3 Marzo 2023

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Permalink: https://cordis.europa.eu/project/id/964854/es

European Union, 2023