Smart Transducers, Robotics and Artificial Intelligence in Industry 4.0

This paper evaluates the possibility of implementing a production line that incorporates the strategies of Industry 4.0 into its operation system, which includes the use of the Internet of Things (IoT), artificial intelligence (AI), big data, cloud computing, and robotics to develop a smart factory. These factories have a high level of connectivity and integration of systems, allowing an effective sharing of information in real-time. Topics include the function of smart transducers in real-time management and the improvement of process interoperability through the application of the IEEE 1451 standard. This is achieved through the integration of robotics with AI to enable the adaptive and precise control of production variables, thus improving the efficiency and quality of products. The paper also discusses the issues and scenarios of using these technologies where standardization plays a major role.

Authors

Institutions

Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/icit63637.2025.10965221
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Transducers, Robotics and Artificial Intelligence in Industry 4.0

José Salvadó, António Espírito-Santo, Helbert da Rocha, Gang Chen et al.
1 citations
Digital Transformation in Industry
1.24
article

Smart Transducers, Robotics and Artificial Intelligence in Industry 4.0

José Salvadó, António Espírito-Santo, Helbert da Rocha, Gang Chen, En Li
article en
1 citations

Abstract

This paper evaluates the possibility of implementing a production line that incorporates the strategies of Industry 4.0 into its operation system, which includes the use of the Internet of Things (IoT), artificial intelligence (AI), big data, cloud computing, and robotics to develop a smart factory. These factories have a high level of connectivity and integration of systems, allowing an effective sharing of information in real-time. Topics include the function of smart transducers in real-time management and the improvement of process interoperability through the application of the IEEE 1451 standard. This is achieved through the integration of robotics with AI to enable the adaptive and precise control of production variables, thus improving the efficiency and quality of products. The paper also discusses the issues and scenarios of using these technologies where standardization plays a major role.

University of Beira Interior (PT), Chinese Academy of Sciences (CN), Jiaxing University (CN), Institute of Automation (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Digital Transformation in Industry
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.