Sensing Technologies, Digital Twins, and Human-Robot Collaboration in Intelligent Manufacturing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 25 August 2026 | Viewed by 7
Special Issue Editors
Interests: smart and sustainable manufacturing; digital manufacturing; digital twin; cyber-physical production systems; industrial internet of things; machine tools and machining processes; machine learning; big data analytics; human-machine collaboration
Special Issues, Collections and Topics in MDPI journals
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 convergence of advanced sensing, digitalization, and artificial intelligence is propelling manufacturing into a new era of smart manufacturing. This transformation is best understood through the lens of cyber–physical–human systems, where physical assets, digital models, and human expertise are intricately linked to create adaptive, efficient, and resilient production environments.
Human-centric Digital Twins are central to this evolution. They extend traditional digital twin models by integrating human operators into the digital framework, thereby enhancing the human aspect of cyber–physical systems. This integration enables real-time monitoring and AI-driven support, particularly in human–robot collaboration contexts, to improve safety, ergonomics, and overall well-being.
This Special Issue invites original research, reviews, and case studies that deliver fresh insights, novel methodologies, or real-world applications exploring the synergies among these transformative technologies. Topics of interest include, but are not limited to, the following:
- Advanced sensing technologies for smart manufacturing;
- AI-based digital twin applications in manufacturing systems;
- Human knowledge-centered decision making in manufacturing;
- Sustainable manufacturing technologies;
- Smart remanufacturing approaches;
- Digitalization and servitization of manufacturing.
Dr. Chao Liu
Dr. Haidong Shao
Prof. Dr. Baicun Wang
Guest Editors
Manuscript Submission Information
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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
- intelligent manufacturing
- artificial intelligence
- digital twin
- sensors
- human–robot collaboration
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