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

Informazioni relative al progetto

EARASHI

ID dell’accordo di sovvenzione: 101069994

DOI

10.3030/101069994

Progetto chiuso

Data della firma CE 13 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 28 Febbraio 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 5 235 341,99

Contributo UE

€ 4 999 866,00

Coordinato da

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Conference proceedings (4)

Mapping Human Factors in Virtual Reality: VRUX

Autori: Escallada Lopez, Oscar; Lasa, Ganix; Mazmela Etxabe, Maitane; Leturia Ugarte, Martin; Lammi, Miia
Pubblicato in: 27th INTERNATIONAL CONGRESS ON PROJECT MANAGEMENT AND ENGINEERING, 2023, ISSN 2695-5067
Editore: AEIPRO

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

Autori: Ganix Lasa, Maitane Mazmela, Ainhoa Apraiz, Oscar Escallada, Arantxa Gonzalez de Heredia
Pubblicato in: EU4Dual booklet 2025, Numero 2025, 2025
Editore: EU4Dual

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

Autori: Ganix Lasa Erle
Pubblicato in: Smart System Integration SSI) 2024, Numero 2024
Editore: SSI

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

Autori: Gonzalez-de-Heredia, Arantxa; Beitia, Amaia ; Lasa, Ganix; Mazmela Etxabe, Maitane; Etxabe, Amaia
Pubblicato in: 27th INTERNATIONAL CONGRESS ON PROJECT MANAGEMENT AND ENGINEERING, 2023, ISSN 2695-5067
Editore: AEIPRO

Peer reviewed articles (1)

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

Autori: Julen Mendikute, Itsaso Carmona, Iratxe Aizpurua, Iñigo Bediaga, Ivan Castro, Lander Galdos, Jose Luis Lanzagorta
Pubblicato in: NDT & E International, Numero 154, 2025, ISSN 0963-8695
Editore: Elsevier BV
DOI: 10.1016/J.NDTEINT.2025.103359