Collaborative Intelligence for Safety-Critical Industries: A Literature Review DOI Creative Commons
Inês Filipa Fernandes Ramos, G. Gianini, Maria Chiara Leva

и другие.

Information, Год журнала: 2024, Номер 15(11), С. 728 - 728

Опубликована: Ноя. 12, 2024

While AI-driven automation can increase the performance and safety of systems, humans should not be replaced in safety-critical systems but integrated to collaborate mitigate each other’s limitations. The current trend Industry 5.0 is towards human-centric collaborative paradigms, with an emphasis on intelligence (CI) or Hybrid Intelligent Systems. In this survey, we search review recent work that employs AI methods for applications, specifically those focus industries. We aim contribute research landscape industry by compiling analyzing a range scenarios where used achieve more efficient human–machine interactions, improved collaboration, coordination, safety. define domain-focused taxonomy categorize diverse CI solutions, based type interaction between intelligent humans, paradigm domain problem, while highlighting issues. investigate 91 articles published 2014 2023, providing insights into trends, gaps, techniques used, guide recommendations future opportunities fast developing field.

Язык: Английский

Digital twin-based architecture for wire arc additive manufacturing using OPC UA DOI

Mohammad Mahruf Mahdi,

Mahdi Sadeqi Bajestani, Sang Do Noh

и другие.

Robotics and Computer-Integrated Manufacturing, Год журнала: 2025, Номер 94, С. 102944 - 102944

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

1
Application of Recurrence Quantification Analysis and Gaussian Mixture Model to Diagnosis Robotic Grinding Process Condition DOI
Kuan-Jung Chung, Chi Hou,

Kai-An Yang

и другие.

International Journal of Precision Engineering and Manufacturing, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0
Collaborative Intelligence for Safety-Critical Industries: A Literature Review DOI Creative Commons
Inês Filipa Fernandes Ramos, G. Gianini, Maria Chiara Leva

и другие.

Information, Год журнала: 2024, Номер 15(11), С. 728 - 728

Опубликована: Ноя. 12, 2024

While AI-driven automation can increase the performance and safety of systems, humans should not be replaced in safety-critical systems but integrated to collaborate mitigate each other’s limitations. The current trend Industry 5.0 is towards human-centric collaborative paradigms, with an emphasis on intelligence (CI) or Hybrid Intelligent Systems. In this survey, we search review recent work that employs AI methods for applications, specifically those focus industries. We aim contribute research landscape industry by compiling analyzing a range scenarios where used achieve more efficient human–machine interactions, improved collaboration, coordination, safety. define domain-focused taxonomy categorize diverse CI solutions, based type interaction between intelligent humans, paradigm domain problem, while highlighting issues. investigate 91 articles published 2014 2023, providing insights into trends, gaps, techniques used, guide recommendations future opportunities fast developing field.

Язык: Английский

Процитировано

1