With the rapid development of generative artificial intelligence models such as large models, the deep integration of general artificial intelligence (AI) with automation and information technology is profoundly changing the landscape of intelligent manufacturing. While super data-driven generative AI exhibits unparalleled capabilities in human generalization and computational efficiency, the role of human analytical decision-making remains indispensable in complex intelligent manufacturing scenarios.
Entering the era of Industry 5.0, intelligent manufacturing transcends the mere enhancement of production efficiency and product value. It recognizes the pivotal role of human experience and knowledge in supplementing for the cognitive limitations of AI within particular contexts. Concurrently, intelligent manufacturing systems should harmonize with human operating habits and alleviate the workload of operators.
This Special Issue presents a unique platform for research dedicated to the emerging paradigm of 'human-centric' intelligent manufacturing. The objective is to delve into autonomous manufacturing systems that entail profound human involvement across the stages of perception, analysis, decision-making, and execution. State-of-the-art technologies such as digital twins, interpretable deep learning, and generative AI will be integrated to improve the efficiency and stability of human-machine collaboration and optimize the design of intricate equipment and manufacturing systems within the Industry 5.0 environment. Topics include, but are not limited to:
- Intelligent manufacturing applications based on human-cyber-physical system
- Novel paradigm and theory of human-centric intelligent manufacturing/design
- Design of high resilience intelligent manufacturing system in Industry 5.0
- Design and optimization of self-organized manufacturing systems with human-in-the-loop
- Fusion of multimodal data and models for human-machine collaborative cognition
- Methods for processing industrial big data with integrating cognitive intelligence
- Applications of intelligent manufacturing based on human-cyber-physical systems
Submission Guidelines
Prospective authors are required to include “HIM” before the title of the manuscript to distinguish it from regular submissions. Manuscripts should be submitted following the CJME guidelines. Authors are requested to submit a manuscript via https://www.editorialmanager.com/chme
Manuscript Submission Deadline: 28 February 2025
Guest Editors
Prof. Qiyin Lin, Xi'an Jiaotong University, China
Prof. Ying Liu, Cardiff University, UK
Assoc. Prof. Hao Gong, Beijing Institute of Technology, China
Assoc. Prof. Junliang Wang, Donghua University, China
Assoc. Prof. Bingtao Hu, Zhejiang University, China
All inquiries and correspondence must be addressed to the Editorial Office of CJME.