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

Informacje na temat projektu

EARASHI

Identyfikator umowy o grant: 101069994

DOI

10.3030/101069994

Projekt został zamknięty

Data podpisania przez KE 13 Czerwca 2022

Data rozpoczęcia 1 Września 2022

Data zakończenia 28 Lutego 2026

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 5 235 341,99

Wkład UE

€ 4 999 866,00

Koordynowany przez

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

Publikacje

Conference proceedings (4)

Mapping Human Factors in Virtual Reality: VRUX

Autorzy: Escallada Lopez, Oscar; Lasa, Ganix; Mazmela Etxabe, Maitane; Leturia Ugarte, Martin; Lammi, Miia
Opublikowane w: 27th INTERNATIONAL CONGRESS ON PROJECT MANAGEMENT AND ENGINEERING, 2023, ISSN 2695-5067
Wydawca: AEIPRO

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

Autorzy: Ganix Lasa, Maitane Mazmela, Ainhoa Apraiz, Oscar Escallada, Arantxa Gonzalez de Heredia
Opublikowane w: EU4Dual booklet 2025, Numer 2025, 2025
Wydawca: EU4Dual

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

Autorzy: Ganix Lasa Erle
Opublikowane w: Smart System Integration SSI) 2024, Numer 2024
Wydawca: SSI

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

Autorzy: Gonzalez-de-Heredia, Arantxa; Beitia, Amaia ; Lasa, Ganix; Mazmela Etxabe, Maitane; Etxabe, Amaia
Opublikowane w: 27th INTERNATIONAL CONGRESS ON PROJECT MANAGEMENT AND ENGINEERING, 2023, ISSN 2695-5067
Wydawca: AEIPRO

Peer reviewed articles (1)

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

Autorzy: Julen Mendikute, Itsaso Carmona, Iratxe Aizpurua, Iñigo Bediaga, Ivan Castro, Lander Galdos, Jose Luis Lanzagorta
Opublikowane w: NDT & E International, Numer 154, 2025, ISSN 0963-8695
Wydawca: Elsevier BV
DOI: 10.1016/J.NDTEINT.2025.103359