Smart Grading, Handling and Packaging Solutions for Soft and Deformable Products in Agile and Reconfigurable Lines

Informazioni relative al progetto

AGILEHAND

ID dell’accordo di sovvenzione: 101092043

DOI

10.3030/101092043

Progetto chiuso

Data della firma CE 18 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 5 986 187,50

Contributo UE

€ 5 986 186,00

Coordinato da

UNIVERSITA POLITECNICA DELLE MARCHE
Italy

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 (4)

AGILEHAND Reference Architecture
AGILEHAND Handbook including Strategies for Workers’ Skills Development, Health and Safety, Communication and Engagement v2
AGILEHAND Handbook including Strategies for Workers’ Skills Development, Health and Safety, Communication and Engagement v1
Usage, Functional & Technical Specifications

Other (8)

AGILEHAND Self-Adaptive Handling, Sorting and Packaging SUITE v1
AGILEHAND Smart Sensing SUITE v2
AGILEHAND Agile, Flexible and Rapid Reconfigurable SUITE v1
AGILEHAND SUITEs Integration v1
AGILEHAND Self-Adaptive Handling, Sorting and Packaging SUITE v2
AGILEHAND SUITEs Integration v2
AGILEHAND Agile, Flexible and Rapid Reconfigurable SUITE v2
AGILEHAND Smart Sensing SUITE v1

Websites, patent fillings, videos etc. (2)

Dissemination, Communication and Community Building & Standardisation v2
Dissemination, Communication and Community Building & Standardisation v1

Pubblicazioni

Conference proceedings (16)

Orange Quality Grading with Deep Learning

Autori: Mohamed Lamine Mekhalfi , Paul Chippendale, Francisco Fraile, Marcos Rico
Pubblicato in: 2025
Editore: arXiv preprint arXiv
DOI: 10.48550/ARXIV.2503.21250

A preliminary implementation of a retrofitted AI demand forecasting system for Digital Twin-based production scheduling in the food sector

Autori: Laura Lucanyoni, Stefano Croci, Giovanni Mazzuto, Severino Perenzoni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Pubblicato in: 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2025
Editore: IEEE
DOI: 10.1109/ACDSA65407.2025.11166056

Enhancing Manufacturing Agility: The Role of Digital Twins and AI in Reconfigurable Production Systems

Autori: Matteo Iacovanelli, Giovanni Mazzuto, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua, Bjorn Vanderwal
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106603

Digital Twin Framework for Improved Handling of Soft and Deformable Products in Food Manufacturing

Autori: Matteo Iacovanelli, Giovanni Mazzuto, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua, Marco Rossi
Pubblicato in: 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2024, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC61926.2024.10794319

Optimizing Production Lines for Soft and Deformable Products with Agile and Flexible Reconfigurable System

Autori: Giovanni Mazzuto, Filippo Emanuele Ciarapica, Jan Hendrik Hellmich, Laura MoyaRuiz, Francisco Fraile Gil
Pubblicato in: 2023
Editore: CEUR Workshop Proceedings
DOI: 10.5281/ZENODO.13385324

Analysis of workers’ risks associated with AI and robotic systems: the AGILEHAND project solutions’ developers point of view

Autori: Filippo E. Ciarapica, Giulio Marcucci, Laura Lucantoni, Lodovico Basilici Menini
Pubblicato in: 2026, ISSN 1613-0073
Editore: CEUR

Machine Learning Based Product Quantity and Quality Prediction in Food Production

Autori: Jan Hendrik Hellmich, Maximilian Brochhaus, Samuele Bonecher, Robert H. Schmitt
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106579

Citrus Sorting Dynamic Control Using Multispectral Computer Vision

Autori: Javier Mateos Luengo, Joan Lario Femenia, Marcos Terol, Francisco Fraile
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106566

The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning

Autori: Mohamed Lamine Mekhalfi, Paul Chippendale, Fabio Poiesi, Samuele Bonecher, Gilberto Osler, Nicola Zancanella
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106558

Strategies for workers’ skills development and engagement: the AGILEHAND project solutions’ developers point of view

Autori: Filippo E. Ciarapica, Giulio Marcucci, Laura Lucantoni ,Lodovico Basilici Menini
Pubblicato in: 2026, ISSN 1613-0073
Editore: CEUR

A Digital Twin Framework for Optimized Production Configuration and Simulation for Order Deadline Fulfilment: A Case Study in an Italian Food Company

Autori: Stefano Croci, Giovanni Mazzuto, Filippo Emanuele Ciarapica, Maurizio Bevilacqua, Marco Ortenzi, Gilberto Osler
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106618

Artificial Neural Networks approach for Digital Twin modelling of an ejector

Autori: Pientrangeli, Ilaria; Mazzuto, Giovanni; Ciarapica, Filippo Emanuele; Bevilacqua, Maurizio
Pubblicato in: Proceedings of 35th European Modeling & Simulation Symposium (EMSS) , Athens, Greece, 18-20 September 2023, 2023, ISSN 2305-2023
Editore: Cal-Tek srl
DOI: 10.46354/I3M.2023.EMSS.007

The Standardization Framework of Product Traceability and Process Performance Monitoring in Interoperable Agroindustry Systems

Autori: Giuseppe Aiello, Jan Hendrik Hellmich, Robert Schmitt, Edoardo Morgado, Veronica Salsano, Filippo Ciarapica
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106647

A Digital Twin Modeling for the Production Line Optimized Management in the Soft and Deformable Food Sector

Autori: Stefano Croci, Giovanni Mazzuto, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua, Gilberto Osler
Pubblicato in: 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2024, ISSN 2693-8855
Editore: IEEE
DOI: 10.1109/ICE/ITMC61926.2024.10794247

Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection

Autori: Mekhalfi, Mohamed Lamine; Boscaini, Davide; Poiesi, Fabio
Pubblicato in: Proceedings of the 34th British Machine Vision Conference (BMVC2023), 2023, ISSN 2308-1535
Editore: arXiv
DOI: 10.48550/ARXIV.2308.15353

Giovanni Mazzuto, Filippo Emanuele Ciarapica, Jan Hendrik Hellmich, Laura MoyaRuiz, Francisco Fraile Gil

Autori: Giovanni Mazzuto, Filippo Emanuele Ciarapica, Jan Hendrik Hellmich, Laura MoyaRuiz, Francisco Fraile Gil
Pubblicato in: 2024
Editore: CEUR Workshop Proceedings
DOI: 10.24406/W-34904

Peer reviewed articles (6)

Optimization of productive processes: case study on Italian kitchen manufacturer packaging line

Autori: Lodovico Basilici Menini, Giulio Marcucci, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Pubblicato in: IFAC-PapersOnLine, Numero 59, 2025, ISSN 2405-8963
Editore: Elsevier BV
DOI: 10.1016/J.IFACOL.2025.09.313

Demand Forecasting Tool Driving the Digital Twin of a Perishable Food Process

Autori: Laura Lucantoni, Stefano Croci, Giovanni Mazzuto, Filippo Emanuele Ciarapica, Maurizio Bevilacqua, Severino Perenzoni
Pubblicato in: IEEE/CAA Journal of Automatica Sinica, Numero 12, 2025, ISSN 2329-9266
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JAS.2025.125591

Machine Vision and Robotics for Primary Food Manipulation and Packaging: A Survey

Autori: Saigopal Vasudevan, Mohamed Lamine Mekhalfi, Carlos Blanes, Michela Lecca, Fabio Poiesi, Paul Ian Chippendale, Pablo Malvido Fresnillo, Wael M. Mohammed, Jose L. Martinez Lastra
Pubblicato in: IEEE Access, Numero 12, 2024, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3479781

A Modular Approach to Adaptive Manufacturing: The AGILEHAND Architecture

Autori: Mansoor Ahmed, Ruben Costa, Rui Branco, Jorge Calado, José Ferreira, Filippo Ciarapica, Francisco Fraile, Mohamed Lamine Mekhalfi
Pubblicato in: IEEE/CAA Journal of Automatica Sinica, Numero 12, 2026, ISSN 2329-9266
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JAS.2025.125795

The resurrection of digital triplet: A cognitive pillar of human-machine integration at the dawn of industry 5.0

Autori: Hassan Alimam, Giovanni Mazzuto, Nicola Tozzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
Pubblicato in: Journal of King Saud University - Computer and Information Sciences, 2023, ISSN 1319-1578
Editore: Elsevier
DOI: 10.1016/J.JKSUCI.2023.101846

Bimanual Motion Primitives for Manipulating 3D Deformable Objects Having Biological Tissues on a Planar Surface With Passive End-Effectors

Autori: Hoang Pham, Pablo Malvido Fresnillo, Saigopal Vasudevan, Wael M. Mohammed, Jose L. Martinez Lastra
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3586079

Book chapters (2)

Artificial Intelligence Within Food Processing Industry with the Scope of Enhancing Workplace Safety: A Literature Review

Autori: Laura Lucantoni, Giulio Marcucci, Filippo Emanuele Ciarapica
Pubblicato in: Proceedings of the I-ESA Conferences, Enterprise Interoperability XI, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-93995-2_4

6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model

Autori: Bortolon Matteo, Theodore Tsesmelis, Stuart James, Fabio Poiesi, Alessio Del Bue
Pubblicato in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-72943-0_24