Recent advancements in technology are focusing on personalization to enhance user experience, product uniqueness, and meet special requirements. Although Industry 4.0 empowered mass customization, the effort was not adequate to satisfy the personalization demands for different verticals. The fifth industrial revolution, i.e., Industry 5.0, significantly focuses on improving personalization integrated into the industrial environment where the customized prerequisite of clients can be satisfied. This industrial revolution relies on human-machine interaction to move from mass customization to mass personalization. Robots have immensely contributed to the field of automated work stacking, dumping, painting, welding, and so forth. Industry 5.0 takes a further leap by interconnecting machines to increase productivity along with improved human efficiency.

With the common goal of achieving mass personalization, the combination of industry 5.0 and scientific programming methods can provide new innovations. One of the key characteristics of industry 5.0 is the use of collaborative robots. Human collaboration with robots presents several challenges including adaptability, decision making, and robustness. A recent survey suggests that the annual growth rate for the collaborative robots sector will increase by 60% and become a 12-billion-dollar industry in less than ten years. In this regard, the challenges of collaborative robots using scientific programming-based methods need to be addressed to realize the concept of Industry 5.0. With the integration of scientific programming methods, Industry 5.0 will penetrate diverse industrial sectors/verticals including gaming, healthcare, supply chain management, automotive, telecommunication, virtual reality, smart society, and energy systems for providing improved personalized and economical services.

The aim of this Special Issue is to collect original research and review articles describing advances in this field.

Potential topics include but are not limited to the following:

• Computer vision, fuzzy systems, IoT, and meta-heuristics-based scientific programming for Industry 5.0
• Scientific programming for wireless computing applications in advancing Industry 5.0
• Scientific programming for collaborative robots in Industry 5.0
• Scientific programming for healthcare in industry 5.0
• Scientific programming-based solutions for mental healthcare in the context of industry 5.0
• Advanced machine learning techniques for scientific programming in Industry 5.0
• Novel or improved nature-inspired scientific programming optimization algorithms in enhancing Industry 5.0
• Scientific programming for manufacturing in Industry 5.0
• Scientific programming for supply chain management in Industry 5.0
• Scientific programming for sustainable and communication networks for Industry 5.0
• Scientific programming for automotive in Industry 5.0