Devices, Tools, and Methodologies for Embedded System Development in the 5.0 Industry Era

Dear Colleagues,

Industry 5.0 complements and extends Industry 4.0. Industry 5.0 should not be understood as a chronological continuation or an alternative to the existing Industry 4.0 paradigm. Industry 5.0 broadens the focus of the foundations of the Industry 4.0 paradigm by looking beyond profitability and economic productivity, and integrating human well-being, resilience, and sustainability. In fact, workplaces need to become more inclusive, supply chains to become more resilient, and production to become more sustainable.

With the advent of this new revolution, characterized by unprecedented levels of connectivity and collaboration between humans and machines, the landscape of embedded system development is undergoing profound transformations. Integrating cyber-physical systems, artificial intelligence, and advanced manufacturing technologies requires innovative devices, tools, and methodologies to support the development of next-generation embedded systems in emerging application areas, such as smart grids, autonomous vehicles, e-health, robotics, or smart recycling.

This Special Issue aims to showcase the latest research and advancements in embedded system technologies that underpin the evolution of the 5.0 Industry landscape. Topics may include, but are not limited to, the following:

1. Design space exploration techniques for implementing embedded systems;
2. Advanced hardware architectures for embedded systems;
3. Formal methods and techniques for the verification and simulation of embedded systems;
4. Low-power design in embedded systems;
5. Embedded system security;
6. The design and implementation of IP cores for embedded systems;
7. Methodologies and tools for embedded system design in FPGA devices.
8. Hardware–software co-design: methods and CAD tools;
9. Application-specific instruction-set processors;
10. The development of System on Chips for smart industrial applications;
11. Real-time operating systems and middleware for cyber-physical systems;
12. Machine learning and deep learning techniques for intelligent embedded systems;
13. Network architectures and communication protocols for smart industrial IoT applications;
14. Software Defined Network (SDN) for embedded systems;
15. Edge computing and device-level fog computing;
16. Vehicle-to-everything (V2X) Embedded Systems;
17. The integration of virtual reality and augmented reality technologies in embedded systems;
18. Sensors and actuators for the 5.0 Industry Era;
19. Practical applications of embedded systems in 5.0 Industry scenarios.

Prof. Dr. Raouf Senhadji-Navarro
Prof. Dr. María José Moron-Fernández
Prof. Dr. Alexander Barkalov
Guest Editors

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