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

Leistungen

Robot portfolio for collaborative operation in shipbuilding operations

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

Process perception module

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

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

Dissemination and Communication Plan (M36 update)

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

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

Dissemination and Communication Plan

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

Performance metrics

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

Veröffentlichungen

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

Autoren: Joana Santos, Paulo M. Rebelo, Luis F. Rocha, Pedro Costa, Germano Veiga.
Veröffentlicht in: Robotics, Ausgabe Volume 10, issue2, 10.3390/robotics10020072, 2021, ISSN 2218-6581
Herausgeber: MDPI
DOI: 10.3390/robotics10020072

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

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

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

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

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

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

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

Autoren: Natalia Zacharaki, Nikos Dimitropoulos, Sotiris Makris
Veröffentlicht in: Science Direct, Ausgabe Volume 106, 2022, 2022, Seite(n) pag. 120-125, ISSN 2212-8271
Herausgeber: Elsevier B.V.
DOI: 10.1016/j.procir.2022.02.165

AI-based vision system for collision detection in HRC applications

Autoren: Sotiris Makris, Panagiotis Aivaliotis
Veröffentlicht in: Science Direct, Ausgabe Volume 106, 2022, 2022, Seite(n) pag. 156-161, ISSN 2212-8271
Herausgeber: Elsevier B.V.
DOI: 10.1016/j.procir.2022.02.171

Sensor Placement Optimization using Random Sample Consensus for Best Views Estimation

Autoren: Carlos M. Costa, Germano Veiga, Armando Sousa, Ulrike Thomas, and Luís Rocha
Veröffentlicht in: 2023
Herausgeber: IEEE
DOI: 10.1109/icarsc58346.2023.10129597

Object segmentation for bin picking using deep learning

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

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