Intelligent Sensing and Decision-Making in Advanced Manufacturing

Dear Colleagues,

Recently, with the rapid development of advanced network technologies (e.g., 5G) and artificial intelligence technologies (e.g., deep neural networks), advanced manufacturing (AM) systems are being applied more often, making AM systems increasingly digitalized, networked, and intelligent. Sensing and decision-making techniques, as the fundamental elements to achieve intelligent manufacturing, are highly significant and have been widely adopted in this process of change. This Special Issue therefore aims to formulate original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of intelligent sensing and decision-making for AM systems. Potential topics include but are not limited to:

• Smart sensors for manufacturing devices;
• Intrusive sensors and non-intrusive sensors
• AI-based sensing technologies;
• Intelligent sensors on industrial robots;
• Dynamic decision-making methods for AM;
• Uncertainty-oriented methods in AM;
• Modeling and simulation for AM;
• Planning and scheduling for AM;
• Human-robot collaborative planning in AM;
• Motion planning and control of industrial robotics;
• Supply chain management and logistics in AM

Dr. Longfei Zhou
Dr. Pai Zheng
Prof. Dr. Xinyu Li
Guest Editors

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