User-centric solutions for a flexible and modular manufacturing in small and medium-sized shipyards

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

Robot portfolio for collaborative operation in shipbuilding operations

It shows robot prototypes implemented for executing tasks in shipbuilding operation, based on user-centric approach.

Demonstration of Mari4_YARD for small-sized shipyards

Public report that shows the performance of the portfolio of Mari4_YARD tools in NODOSA.

Mari4_YARD´s Showrooms

This deliverable is openly accessible technologies for interested parties.

Process perception module

It shows the detection/recognition of tasks being performed by humans for Mari4_YARD applications.

Demonstration of Mari4_YARD for medium-sized shipyards

Public report that shows the performance of the portfolio of Mari4_YARD tools in BIS.

Testbenches demonstrators

Public testbenches used as laboratory setup for initial validation of the different technologies develop in Mari4YARD project

Portfolio of Mari4_YARD worker-centric tools

TRL 6. Mari4_YARD prototypes

On-line training materials

It collects training in new digital skills.

Mari4_YARD dataset for benchmarking

Public dataset with data, measurements and routings for benchmarking purposes.

Performance metrics

Public report showing performance metrics defined for quantifying the performance of the portfolio of Mari4_YARD tools.

Dissemination and Communication Plan (M48 update)

Dissemination and Communication Plan will be revised and updated considering the evolution of the project results and other activities.

Dissemination and Communication Plan (M36 update)

It will be revised and updated considering the evolution of the project results and other activities.

Best practise handbook

It compiles recommendations towards the adoption of digital technologies in SMRC industries.

Dissemination and Communication Plan (M18 update)

Dissemination and Communication Plan will be revised and updated considering the evolution of the project results and other activities

Best practise handbook (M48 update)

It compiles recommendations towards the adoption of digital technologies in SMRC industries.

Dissemination and Communication Plan

It will be revised and updated considering the evolution of the project results and other activities.

Publications

AI-based Routing and scheduling modules for multiple AGV in an industrial scenario

Auteurs: Joana Santos, Paulo M. Rebelo, Luis F. Rocha, Pedro Costa, Germano Veiga.
Publié dans: Robotics, Numéro Volume 10, issue2, 10.3390/robotics10020072, 2021, ISSN 2218-6581
Éditeur: MDPI
DOI: 10.3390/robotics10020072

Evaluation of antigravitational support levels provided by a passive upper-limb occupational exoskeleton in repetitive arm movements

Auteurs: Giulia Ramella, Lorenzo Grazi, Francesco Giovacchini, Emilio Trigili, Nicola Vitiello, Simona Crea
Publié dans: Applied Ergonomics, Numéro 117, 2024, Page(s) 104226, ISSN 0003-6870
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.apergo.2024.104226

Towards seamless collaboration of humans and high-payload robots: An automotive case study

Auteurs: Dionisis Andronas; Emmanouil Kampourakis; Giorgos Papadopoulos; Katerina Bakopoulou; Panagiotis Stylianos Kotsaris; George Michalos; Sotiris Makris
Publié dans: Robotics and Computer-Integrated Manufacturing, 2023, ISSN 0736-5845
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.rcim.2023.102544

Passive shoulder occupational exoskeleton reduces shoulder muscle coactivation in repetitive arm movements

Auteurs: Lorenzo Grazi, Emilio Trigili, Michele Fiore, Francesco Giovacchini, Angelo Maria Sabatini, Nicola Vitiello, Simona Crea
Publié dans: Scientific Reports, Numéro 14, 2024, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-024-78090-2

Robotized technologies for enhanced shipyard operations: challenges and solutions

Auteurs: Jawad Masood, Felix Vidal, David Castro, Afra M. Pertusa, Abel Feijoo
Publié dans: Green Manufacturing Open, Numéro 2, 2024, ISSN 2835-7590
Éditeur: Green Manuf. Open.
DOI: 10.20517/gmo.2023.102601

Bin Picking for Ship-Building Logistics Using Perception and Grasping Systems

Auteurs: Artur Cordeiro; Manuel Silva; Vitor Filipe; João Pedro Carvalho de Souza; Carlos M. Costa; Luís F. Rocha
Publié dans: Robotics; Volume 12; Numéro 1; Pages: 15, Numéro 2, 2023, ISSN 2218-6581
Éditeur: MDPI
DOI: 10.3390/robotics12010015

Kinematics-Based Adaptive Assistance of a Semi-Passive Upper-Limb Exoskeleton for Workers in Static and Dynamic Tasks

Auteurs: Lorenzo Grazi, Emilio Trigili, Noemi Caloi, Giulia Ramella, Francesco Giovacchini, Nicola Vitiello, Simona Crea
Publié dans: IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2022.3188402

Challenges in human-robot collaborative assembly in shipbuilding and ship maintenance, repair and conversion (SMRC) industry

Auteurs: Natalia Zacharaki, Nikos Dimitropoulos, Sotiris Makris
Publié dans: Science Direct, Numéro Volume 106, 2022, 2022, Page(s) pag. 120-125, ISSN 2212-8271
Éditeur: Elsevier B.V.
DOI: 10.1016/j.procir.2022.02.165

AI-based vision system for collision detection in HRC applications

Auteurs: Sotiris Makris, Panagiotis Aivaliotis
Publié dans: Science Direct, Numéro Volume 106, 2022, 2022, Page(s) pag. 156-161, ISSN 2212-8271
Éditeur: Elsevier B.V.
DOI: 10.1016/j.procir.2022.02.171

Sensor Placement Optimization using Random Sample Consensus for Best Views Estimation

Auteurs: Carlos M. Costa, Germano Veiga, Armando Sousa, Ulrike Thomas, and Luís Rocha
Publié dans: 2023
Éditeur: IEEE
DOI: 10.1109/icarsc58346.2023.10129597

Object segmentation for bin picking using deep learning

Auteurs: Artur Cordeiro, Luis F. Rocha, Carlos Costa, and Manuel F. Silva
Publié dans: Lecture Notes in Networks and Systems, Springer, 2022
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-21062-4_5

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