Smart Manufacturing based on Sensing Technology: Digital Twin, Artificial Intelligence and Human–Robot Collaboration
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 1046
Special Issue Editors
Interests: smart manufacturing; Industry 4.0; digital twin; cyber-physical production system; advanced data analytics; machine tool; AR
Special Issues, Collections and Topics in MDPI journals
Interests: smart technology for sustainable manufacturing
Interests: industrial big data; predictive maintenance; machine learning
Interests: intelligent fault diagnosis
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent manufacturing systems; digital twin (DT) and human digital twin (HDT); human-centric smart manufacturing and robotics; human–cyber–physical systems (HCPSs)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of cutting-edge sensing technologies in the contemporary manufacturing landscape has led to the emergence of smart manufacturing, emphasizing the seamless integration of physical and digital systems for enhanced efficiency and innovation. This integration has facilitated transformative advancements in digital twin implementations, artificial intelligence applications, and the promotion of effective human–robot collaboration in modern manufacturing environments. It has revolutionized industrial operations, enabling real-time monitoring, data-driven decision-making, and predictive maintenance. Digital twin technologies simulate and optimize manufacturing processes, enhancing productivity, while artificial intelligence empowers proactive process optimization. Sophisticated human–robot collaboration strategies redefine manufacturing boundaries, fostering a collaborative ecosystem where human expertise and robotic precision work in tandem to ensure enhanced safety and productivity.
This Special Issue invites researchers, academicians, and industry practitioners to contribute to the discourse on "Smart Manufacturing based on Sensing Technology: Digital Twin, Artificial Intelligence, Human-Robot Collaboration." This thematic collection aims to explore cutting-edge advancements, innovative methodologies, and real-world applications that leverage the synergies among these transformative elements.
We welcome original research, review articles, and case studies that delve into, but are not limited to, the following topics:
- Advanced sensing technology for smart manufacturing;
- Digital twins in smart manufacturing;
- Artificial Intelligence in manufacturing;
- Human–robot collaborations in smart manufacturing;
- Intelligent decision making in manufacturing;
- Prognostics and health management in manufacturing;
- Sustainable manufacturing technologies;
- Smart remanufacturing technologies;
- Digitalization and servitization of manufacturing.
Dr. Chao Liu
Dr. Peiji Liu
Dr. Chong Chen
Dr. Haidong Shao
Dr. Baicun Wang
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- smart manufacturing
- sensing technology
- digital twin
- human–robot collaboration
- machine learning
- deep learning
- manufacturing system
- robotics
