Smart Manufacturing
- Submission status
- Open
- Submission deadline
Smart manufacturing integrates modern artificial intelligence, and data science into the manufacturing process for enhanced productivity, sustainability, and economic performance. In this collection, we focus on two areas of smart manufacturing. The digitalization of the manufacturing process to monitor process and performance, predict and resolve maintenance issues as well as reduce cost and waste. We also cover the contribution of robotics in manufacturing automation to increase productivity and reduce operating costs. The collection will explore:
1. Digital transformation in manufacturing
• intelligent data analytical techniques such as artificial intelligence/machine learning based analysis, digital twins, big data science etc.
• connecting data from equipment sensors, cameras, production robots, and other intelligent devices, such as Industrial Internet of Things (IoT), 5G communication network etc
• process monitoring and anomaly detection including computer vision, augmented reality, AI/ML etc.
2. Robotics for manufacturing automation
• integrated human-robotics intelligence
• robotics process automation
• adaptive control for robots in flexible manufacturing
• collaborative robotics (proactive collaboration between robots and human in manufacturing)
Editors
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Youyi Bi, PhD
University of Michigan – Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, China
-
Pedro Neto, PhD
Collaborative Robotics Laboratory (CoRLuc), University of Coimbra, Portugal
