Trends and Prospects in Advanced Automated Manufacturing Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 62
Special Issue Editors
Interests: AI applications in sustainability and engineering; graph neural networks; knowledge graph; multimodal models and fusion; robotics; reinforcement learning
Interests: intelligent manufacturing; industrial big data; network collaborative manufacturing/cloud manufacturing; intelligent manufacturing equipment development
Special Issue Information
Dear Colleagues,
In today’s rapidly evolving industrial landscape, advanced automated manufacturing systems reshape production processes and drive efficiency across sectors. These systems integrate cutting-edge technologies such as robotics, artificial intelligence, and the Internet of Things to optimize operations, reduce errors, and enhance flexibility. This Special Issue on Trends and Prospects in Advanced Automated Manufacturing Systems provides a platform for interdisciplinary research that examines both the technological innovations and the practical challenges associated with their implementation. The issue highlights research on smart factories, cyber–physical systems, and adaptive control systems, which are crucial for achieving a competitive advantage in a global market. In addition, contributions explore the impact of automation on workforce dynamics, sustainability, and cost-effectiveness. Through empirical studies, theoretical analyses, and case studies, this issue offers insights into current trends while identifying future directions for research and practice. The presented work emphasizes a balanced perspective that addresses the transformative potential of automation and the need for robust strategies to manage its implications. By fostering dialogue between academia and industry, this Special Issue aims to contribute to developing resilient and innovative manufacturing systems. The issue thus invites active collaboration that will drive groundbreaking advancements in automated manufacturing.
Dr. Fan Mo
Dr. Bo Yang
Guest Editors
Manuscript Submission Information
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Keywords
- advanced automation
- smart manufacturing
- cyber–physical systems
- Industry 4.0
- robotics
- AI integration
- sustainable production
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