[HTML][HTML] Learning human-process interaction in manual manufacturing job shops through indoor positioning systems

F Pilati, A Sbaragli - Computers in Industry, 2023 - Elsevier
Nowadays, manufacturing systems are increasingly embracing the Industry 4.0 paradigm.
Therefore, manual and low-standardized manufacturing environments are often digitized …

Goal-oriented clustering algorithm to monitor the efficiency of logistic processes through real-time locating systems

F Pilati, A Sbaragli, T Ruppert… - International Journal of …, 2024 - Taylor & Francis
Modern internal logistic systems face several challenges, from supply chain disruption to
mass customization of marketed products. In such a highly dynamic scenario, Internet of …

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms

PM Rebelo, J Lima, SP Soares, P Moura Oliveira… - Sensors, 2024 - mdpi.com
The flexibility and versatility associated with autonomous mobile robots (AMR) have
facilitated their integration into different types of industries and tasks. However, as the main …

Industrial Visual Inspection with TinyML for High-Performance Quality Control

A Albanese, D Brunelli - IEEE Instrumentation & Measurement …, 2023 - ieeexplore.ieee.org
In industrial processes, predictive maintenance or automated optical analysis of artifacts is
fundamental to ensure high-quality products with low costs. However, this step is still done …

Research and Implementation of Indoor 3D Positioning Algorithm Based on LED Visible Light Communication and Corresponding Parameter Estimation

Y Li - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
In the era of mobile Internet, the application of various positioning‐based location service
systems is becoming more and more common. In addition, the traditional radio positioning …

Measurement System for Operator 5.0: a Learning Fatigue Recognition based on sEMG Signals

L De Vito, E Picariello, F Picariello… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
In this paper, a fatigue recognition system, based on a Machine Learning (ML) algorithm is
presented. A wearable device is used to acquire the sEMG signals on a subject performing …

An Artificial Neural Network Architecture to Classify Workers' Operations in Manual Production Processes

F Pilati, A Sbaragli, GPR Papini, P Capuccini - … Conference on Flexible …, 2023 - Springer
The recent Industry 4.0 paradigm is disruptively changing the manufacturing landscape.
Where fully automated settings are not feasible or economically viable, Industrial Internet of …