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Marcello Urgo

Has grant

Associate Professor

Politecnico di Milano

Italy

Research Interests

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Professors in Italy

Recent Grants

Grant: Open

Digitally-enhanced multi-level solution for smart human-centric remanufacturing

Open Date: 2024-09-01

Close Date: 2028-08-31

Grant: Close

Secure 5G-Enabled Twin Transition for Europe's TIMBER Industry Sector

Open Date: 2022-06-01

Close Date: 2025-05-31

Grant: Close

Digital Platform for Circular Economy in Cross-sectorial Sustainable Value Networks

Open Date: 2020-01-01

Close Date: 2023-12-31

Grant: Close

DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production

Open Date: 2019-01-01

Close Date: 2024-03-31

Grant: Close

Rapid Reconfiguration of Flexible Production Systems through Capability-based Adaptation, Auto-configuration and Integrated tools for Production Planning

Open Date: 2015-11-01

Close Date: 2018-10-31

Articles (20)

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2024

Collaborators (8)

Gisela Lanza

head of institute

Karlsruher Institut für Technologie

GERMANY

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Yannick Le Moullec

Professor

Tallinn University of Technology

ESTONIA

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Rok Vrabič

University of Ljubljana

SLOVENIA

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Kashif Mahmood

Researcher

Tallinn University of Technology

ESTONIA

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Alar Kuusik

Senior Researcher

Tallinn University of Technology

ESTONIA

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Nicole Stricker

Professor

Hochschule Aalen

GERMANY

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Colin Keogh

Co-Ordinator & Lecturer

Dublin City University

IRELAND

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Giorgio Colombo

Professore ordinario

Politecnico di Milano

ITALY

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ApplyKite TwinLearns as you apply

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Marcello Urgo

Research Interests

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Recent Grants

Articles (20)

A Virtual Environment Based on Babylon.js (VEB.js) to Support Engineering Research and Education

Teaching Product Assembly with VR: Advantages, Shortcomings, and Student Perceptions

Digital Twin-Based Approaches for Industrial Equipment in the Timber Industry

Digital Twin-Based Approaches to Support Human Operators and Safety in the Timber Industry

Modular Wooden Construction: Principles, Technologies, and Business Innovations

Precise Localisation Technologies for the Industry

Comparing Traditional and eXtended Reality-Based Learning: Effects on Performance, Emotions, and Cognitive Aspects

Dynamic reassembly control in flexible remanufacturing systems using Ant Colony Optimisation

Use Case Category 1: Data Driven Sawmill and Woodworking Machine

Use Case Category 2: Modular Wood House Factory

Use Case Category 3: Construction and Renovation with Wooden Elements, Valorisation of Composite Waste

Towards digital twin-enhanced control policies: A knowledge-based classification of release and dispatching policies in manufacturing systems

Physics-based simulation framework for Digital Twin applications: Machine parameter tuning for handling of lumber in the wood industry

Advanced Computer Vision for Industrial Safety: Indoor Human Worker Localization Using Deep Learning

Future-Proof Production Scheduling and Control

Integrating digital factory twin and AI for monitoring manufacturing systems through synthetic data generation and vision transformers

A framework for virtual learning in industrial engineering education: development of a reconfigurable virtual learning factory application

An upper bound for the inter-exit time of two jobs in an m-machine flow shop

Monitoring manufacturing systems using AI: A method based on a digital factory twin to train CNNs on synthetic data

A branch-and-bound approach to minimise the value-at-risk of the makespan in a stochastic two-machine flow shop

Collaborators (8)

Gisela Lanza

Yannick Le Moullec

Rok Vrabič

Kashif Mahmood

Alar Kuusik

Nicole Stricker

Colin Keogh

Giorgio Colombo

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