Feature Review Papers in "Robotics and Automation" Section

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 3771

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering and Aeronautics, University of Patras, Rio Patras 26504, Greece
Interests: robotic systems; automation; augmented, mixed, and virtual reality in manufacturing; manufacturing process modeling; cloud technologies; Internet of Things (IoT); digital twin; 5G; artificial intelligence; product–service systems (PSS); Industry 4.0; Industry 5.0
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Laboratory for Manufacturing Systems & Automation (LMS), Department of Mechanical Engineering and Aeronautics, University of Patras, 26504 Patras, Greece
Interests: conventional/non-conventional/micro manufacturing processes; machine tool design; CAD/CAM and RP/RM systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department for Mechanical Aeronautics and Engineering, University of Patras, 26504 Patras, Greece
Interests: Industry 4.0 technologies; simulation of manufacturing systems; cloud manufacturing; augmented, mixed and virtual reality in manufacturing; fluid dynamics; multiphase flows and computational fluid dynamics (CFD)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Industry 4.0 is a manufacturing concept which promotes the digitization and digitalization of manufacturing and production systems and networks in an attempt to achieve more efficient Human-Robot Collaboration (HRC). Consequently, several new technologies, among them being Cloud Computing, 5G networks, and Artificial Intelligence, are employed for creating knowledge and to help engineers to design, develop, and implement more robust decision-making frameworks. Automation and robotics are two main research areas moving us towards the realization of Smart Factories. To that end, automation systems play a very important role in the field of manufacturing, especially under the framework of Industry 4.0, which includes the use of various Information and Communication Technologies (ICT), infrastructure, and control systems such as Smart Machinery, Cyber-Physical Machine Tools (CPMTs), Robotics, Processes in factories, and other applications. Therefore, in this Special Issue, we invite contributors to investigate the current trends in modern automation and robotic systems. Along these lines, possible contributions may focused on, but not limited to, the following topics:

  • Novel industrial robot applications;
  • Sensing and control in robotics;
  • Modeling and simulation in robotics and automation;
  • Advanced software frameworks for modeling and controlling robotics applications;
  • Digital-twin-driven approaches for automation systems;
  • Industry 4.0 and Robots concepts;
  • Mobile robotic platforms in manufacturing and logistics;
  • Human-robot collaboration for manufacturing processes;
  • Robotics technologies for manufacturing processes;
  • Advanced robot-based quality inspection and control applications;
  • Safety in industrial robot applications;
  • Cyber-physical systems for industrial robot applications;
  • Design and development of robot end-effectors;
  • Learning and training for industrial robot applications
  • Artificial Intelligence/Robotics/Autonomous systems;
  • Methodologies for digital twins of automation systems;

Prof. Dr. Dimitris Mourtzis
Prof. Dr. Panagiotis Stavropoulos
Dr. Nikos Panopoulos
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. Applied Sciences 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 2400 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

  • industry 4.0
  • automation
  • robotics
  • cyber-physical systems
  • artificial intelligence
  • digital twin
  • sensing
  • modelling
  • simulation

Published Papers (1 paper)

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Review

28 pages, 9175 KiB  
Review
Metamodelling of Manufacturing Processes and Automation Workflows towards Designing and Operating Digital Twins
by Panagiotis Stavropoulos, Alexios Papacharalampopoulos, Kyriakos Sabatakakis and Dimitris Mourtzis
Appl. Sci. 2023, 13(3), 1945; https://doi.org/10.3390/app13031945 - 2 Feb 2023
Cited by 11 | Viewed by 2545
Abstract
The automation of workflows for the optimization of manufacturing processes through digital twins seems to be achievable nowadays. The enabling technologies of Industry 4.0 have matured, while the plethora of available sensors and data processing methods can be used to address functionalities related [...] Read more.
The automation of workflows for the optimization of manufacturing processes through digital twins seems to be achievable nowadays. The enabling technologies of Industry 4.0 have matured, while the plethora of available sensors and data processing methods can be used to address functionalities related to manufacturing processes, such as process monitoring and control, quality assessment and process modelling. However, technologies succeeding Computer-Integrated Manufacturing and several promising techniques, such as metamodelling languages, have not been exploited enough. To this end, a framework is presented, utilizing an automation workflow knowledge database, a classification of technologies and a metamodelling language. This approach will be highly useful for creating digital twins for both the design and operation of manufacturing processes, while keeping humans in the loop. Two process control paradigms are used to illustrate the applicability of such an approach, under the framework of certifiable human-in-the-loop process optimization. Full article
(This article belongs to the Special Issue Feature Review Papers in "Robotics and Automation" Section)
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