Human-Centric Manufacturing and Cyber-Physical Systems in Industry 4.0 and 5.0 Era
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 2086
Special Issue Editors
Interests: virtual and augmented reality; Internet of Things; cloud computing; computational intelligence; Petri Nets
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; machine vision; camera systems; discrete simulation; production system modeling and simulation; convolution neural networks; Industry 4.0
Special Issues, Collections and Topics in MDPI journals
Interests: industrial communication; Industry 4.0 solutions; cyber-physical systems; interoperability; Industrial Internet of Things; sensors
Special Issue Information
Dear Colleagues,
In the current era, the concept of the Fourth Industrial Revolution (Industry 4.0) has been broadened with the introduction of the Industry 5.0 paradigm, signifying a transition towards approaches that are more sustainable, resilient, and centered around human needs and values. Industry 4.0 laid the groundwork with the integration of digital technologies across production and business management processes, leveraging advancements in computer systems, intelligent sensors, and machine learning to create highly efficient, interconnected mechatronic systems. Building on this foundation, Industry 5.0 represents a significant paradigm shift, prioritizing the harmonization of human ingenuity with the capabilities of smart machines to achieve greater environmental sustainability, economic resilience, and personal well-being.
This Special Issue, "Human-centric Manufacturing and Cyber–Physical Systems in Industry 4.0 and 5.0 Era," seeks to explore the forefront of this transformation. We invite contributions that showcase innovative research and developments at the intersection of human-centric manufacturing practices and cyber–physical system advancements. A key aspect of this new era is the development and implementation of novel human–machine interfaces, such as brain–computer interfaces, augmented / mixed reality, the use of human gestures, that enable more intuitive, effective, and personalized interactions between humans and machines. Such technologies not only promise to revolutionize the way we work with machines but also underscore the importance of fostering a deep understanding of Industry 5.0's technological, ethical, and social dimensions. Moreover, as we navigate this transition, the need for specialized education and training in Industry 5.0 becomes increasingly apparent.
Through this Special Issue, we aim to contribute to the discourse on how manufacturing and industrial systems can be reimagined and redesigned for the Industry 5.0 landscape. We look forward to contributions that address these themes, offering insights into the development trends of smart industry technologies, and fostering the digital transformation of industries with a human-centric, sustainable, and resilient approach.
Dr. Erik Kučera
Dr. Oto Haffner
Dr. Peter Drahoš
Guest Editors
Manuscript Submission Information
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Keywords
- cyber-security of cyber–physical systems
- industrial Internet of Things and industrial communication
- human-centric HMIs based on emerging technologies (virtual, augmented and mixed reality, voice control, motion capture, brain–computer interface, multiplatform web and mobile applications, etc.)
- mechatronic and ICT systems for automotive industry, intelligent transport
- modelling, simulation and control of mechatronic systems
- computational intelligence, optimization, computer vision and challenges based on generative artificial intelligence and synthetic data
- microcontrollers, FPGA, PLC and modern electronic systems for Industry 4.0 and 5.0
- low-code and no-code approaches for software development
- business, economic, environmental, sustainable and social aspects of Industry 4.0/5.0
- innovative applications of mechatronics and digital engineering in Industry 4.0/5.0 and services (predictive maintenance, mechatronics in sustainability and health care, advanced robotics, education systems, etc.)
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