Intelligent Sensing and Decision-Making in Advanced Manufacturing: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: closed (25 October 2024) | Viewed by 255
Special Issue Editors
Interests: smart manufacturing; machine learning; computer vision; simulation; scheduling
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent product design; intelligent product manufacturing; multi-objective optimization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent manufacturing; deep learning; machine learning; fault diagnosis; surface defect recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This publication is a continuation of our previous Special Issue on the same topic, entitled “Intelligent Sensing and Decision-Making in Advanced Manufacturing”.
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, and they are becoming increasingly digitalized, networked, and intelligent. Sensing and decision-making techniques, as the fundamental elements in intelligent manufacturing, are highly significant and have been widely adopted in this process of change. This Special Issue therefore aims to publish 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 the following:
- 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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Keywords
- 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
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Related Special Issue
- Intelligent Sensing and Decision-Making in Advanced Manufacturing in Sensors (13 articles)
