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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: 25 October 2024 | Viewed by 44

Special Issue Editors


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Guest Editor
Biomedical, Industrial and Systems Engineering Department, Gannon University, Erie, PA 16541, USA
Interests: smart manufacturing; machine learning; computer vision; simulation; scheduling
Special Issues, Collections and Topics in MDPI journals
Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong SAR, China
Interests: human–robot collaboration; smart product-service systems; engineering informatics; smart manufacturing systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Related Special Issue

Published Papers

This special issue is now open for submission.
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