Embodied AI/Robotics Applications for a Safe, Human-oriented Industry

Informations projet

EARASHI

N° de convention de subvention: 101069994

DOI

10.3030/101069994

Projet clôturé

Date de signature de la CE 13 Juin 2022

Date de début 1 Septembre 2022

Date de fin 28 Février 2026

Financé au titre de

• Digital, Industry and Space

Coût total

€ 5 235 341,99

Contribution de l’UE

€ 4 999 866,00

Coordonné par

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (16)

Report on open-call procedures and rules and publication summary
Challenge preliminary Market Analysis
Catalogue of solutions and explanation for 3rd party applicants

catalogue of the available building blocks and explanations for the 3rd party applicants

Sustainability action plan, first report
Portfolio of performed activities, 2nd report
Risk monitoring procedure, first report

Risk monitoring procedure first report

Open call results and analytics on proposals submitted
Community engagement strategy and results, first report

Description of the community engagement strategy M10

Portfolio of performed activities, first report

Portfolio of performed activities first report

Risk monitoring procedure, second report
Use-cases and challenges report

description of the usecases and challenges to define the topics of the open call

Monitoring process set-up description

Monitoring process setup description

Second report on the collaborations with and contributions to the European ecosystems of AI, Data and Robotics

Report on the collaborations with and contributions to the European ecosystems of AI, Data and Robotics

First Report on the collaboration with and contribution to the European ecosystem of AI, Data and Robotics

Report on the collaborations with and contributions to the European ecosystems of AI, Data and Robotics: M18, M30, M42

Dissemination and Communication Plan
Final report on community engagement strategy and results

Report community engagement strategy and results

Other (3)

Strategy for regional, national and European collaboration

Description of the collaboration scenarios at regional/national level

Workshops with open participation of prospective open call contenders about use of multimodal technologies to enable safe and stree-free environment for operators

Workshops with open participation of prospective open call contenders about use of multimodal technologies ARVR to enable safe and stressfree environment for operators

Webinars on cybersecurity best practices

webinars on cybersecurity best practices

Publications

Conference proceedings (4)

Mapping Human Factors in Virtual Reality: VRUX

Auteurs: Escallada Lopez, Oscar; Lasa, Ganix; Mazmela Etxabe, Maitane; Leturia Ugarte, Martin; Lammi, Miia
Publié dans: 27th INTERNATIONAL CONGRESS ON PROJECT MANAGEMENT AND ENGINEERING, 2023, ISSN 2695-5067
Éditeur: AEIPRO

HUMAN-CENTERED INDUSTRY 5.0: BALANCING TECHNOLOGICAL INNOVATION AND ETHICAL INCLUSIVITY

Auteurs: Ganix Lasa, Maitane Mazmela, Ainhoa Apraiz, Oscar Escallada, Arantxa Gonzalez de Heredia
Publié dans: EU4Dual booklet 2025, Numéro 2025, 2025
Éditeur: EU4Dual

HUMAN-CENTERED INDUSTRY: INTEGRATING INDUSTRY 5.0 PRINCIPLES AND INCLUSIVE DESIGN FOR SUSTAINABLE INNOVATION

Auteurs: Ganix Lasa Erle
Publié dans: Smart System Integration SSI) 2024, Numéro 2024
Éditeur: SSI

Diversity, accessibility and inclusive design of work environments in Industry 5.0

Auteurs: Gonzalez-de-Heredia, Arantxa; Beitia, Amaia ; Lasa, Ganix; Mazmela Etxabe, Maitane; Etxabe, Amaia
Publié dans: 27th INTERNATIONAL CONGRESS ON PROJECT MANAGEMENT AND ENGINEERING, 2023, ISSN 2695-5067
Éditeur: AEIPRO

Peer reviewed articles (1)

Defect detection in wind turbine blades applying Convolutional Neural Networks to Ultrasonic Testing

Auteurs: Julen Mendikute, Itsaso Carmona, Iratxe Aizpurua, Iñigo Bediaga, Ivan Castro, Lander Galdos, Jose Luis Lanzagorta
Publié dans: NDT & E International, Numéro 154, 2025, ISSN 0963-8695
Éditeur: Elsevier BV
DOI: 10.1016/J.NDTEINT.2025.103359