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

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

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.

Pubblicazioni

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

Autori: Joana Santos, Paulo M. Rebelo, Luis F. Rocha, Pedro Costa, Germano Veiga.
Pubblicato in: Robotics, Numero Volume 10, issue2, 10.3390/robotics10020072, 2021, ISSN 2218-6581
Editore: MDPI
DOI: 10.3390/robotics10020072

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

Autori: Giulia Ramella, Lorenzo Grazi, Francesco Giovacchini, Emilio Trigili, Nicola Vitiello, Simona Crea
Pubblicato in: Applied Ergonomics, Numero 117, 2024, Pagina/e 104226, ISSN 0003-6870
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apergo.2024.104226

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

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

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

Autori: Lorenzo Grazi, Emilio Trigili, Michele Fiore, Francesco Giovacchini, Angelo Maria Sabatini, Nicola Vitiello, Simona Crea
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-024-78090-2

Robotized technologies for enhanced shipyard operations: challenges and solutions

Autori: Jawad Masood, Felix Vidal, David Castro, Afra M. Pertusa, Abel Feijoo
Pubblicato in: Green Manufacturing Open, Numero 2, 2024, ISSN 2835-7590
Editore: Green Manuf. Open.
DOI: 10.20517/gmo.2023.102601

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

Autori: Artur Cordeiro; Manuel Silva; Vitor Filipe; João Pedro Carvalho de Souza; Carlos M. Costa; Luís F. Rocha
Pubblicato in: Robotics; Volume 12; Numero 1; Pages: 15, Numero 2, 2023, ISSN 2218-6581
Editore: MDPI
DOI: 10.3390/robotics12010015

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

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

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

Autori: Natalia Zacharaki, Nikos Dimitropoulos, Sotiris Makris
Pubblicato in: Science Direct, Numero Volume 106, 2022, 2022, Pagina/e pag. 120-125, ISSN 2212-8271
Editore: Elsevier B.V.
DOI: 10.1016/j.procir.2022.02.165

AI-based vision system for collision detection in HRC applications

Autori: Sotiris Makris, Panagiotis Aivaliotis
Pubblicato in: Science Direct, Numero Volume 106, 2022, 2022, Pagina/e pag. 156-161, ISSN 2212-8271
Editore: Elsevier B.V.
DOI: 10.1016/j.procir.2022.02.171

Sensor Placement Optimization using Random Sample Consensus for Best Views Estimation

Autori: Carlos M. Costa, Germano Veiga, Armando Sousa, Ulrike Thomas, and Luís Rocha
Pubblicato in: 2023
Editore: IEEE
DOI: 10.1109/icarsc58346.2023.10129597

Object segmentation for bin picking using deep learning

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

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