Marcello Urgo
Marcello Urgo
Home
Publications
Teaching
Projects
Roles
Contacts
Light
Dark
Automatic
6
A Modular Framework for Implementing Release Control Policies in Discrete-Event Simulation Models
M. Urgo
,
W. Terkaj
,
A. Nassehi
,
Q. Qi
Cite
DOI
URL
Comparing Traditional and eXtended Reality-Based Learning: Effects on Performance, Emotions, and Cognitive Aspects
M. Mondellini
,
S. Arlati
,
M. Urgo
,
S.L. Pizzagalli
,
K. Mahmood
,
W. Terkaj
Cite
DOI
URL
Advanced Computer Vision for Industrial Safety: Indoor Human Worker Localization Using Deep Learning
Computer Vision (CV) and Machine Learning (ML) have transformed manufacturing by enabling real-time monitoring and optimization. This …
F. Berardinucci
,
M. Urgo
Cite
DOI
URL
AI-Based Pose Estimation of Human Operators in Manufacturing Environments
M. Urgo
,
F. Berardinucci
,
P. Zheng
,
L. Wang
Cite
DOI
URL
Digital Twin for Factories: Challenges and Industrial Applications
The widespread adoption of digital technologies in factories has resulted in the generation of a vast amount of data, which has the …
W. Terkaj
,
M. Annoni
,
B.O. Martinez
,
E. Pessot
,
M. Sortino
,
M. Urgo
Cite
DOI
URL
Strategic Action Line LI4: High Efficiency and Zero Defect
The objective of this chapter is to describe the strategic action line related to high efficiency and zero defect production (LI4). In …
M. Urgo
,
V. Rampa
,
R. Cotti Piccinelli
,
M. Sortino
,
P. Petrali
Cite
DOI
URL
Cite
×