Human-Driven AI Innovations on the Path to Industry 5.0
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 1 February 2027 | Viewed by 7
Special Issue Editors
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, Industrial Metaverse
Special Issues, Collections and Topics in MDPI journals
Interests: algorithmic aspects of wireless sensor networks; wireless power transfer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Industry 5.0 is the next stage of Industrial Revolutions, focusing on the pillars of sustainability, resilience, and human-centricity. Industry 5.0 is supported by a set of Key Enabling Technologies, such as Digital Twins and Artificial Intelligence (AI). AI algorithms and methods, such as Deep Learning, Computer Vision, and Generative AI, play an important role, as they support enhanced design, monitoring, automation, and optimization capabilities. However, challenges arise during implementation of AI tools in manufacturing, especially concerning human–machine collaboration and decision-making capability and responsibility. Utilizing AI in manufacturing must ensure that human agency and creativity are supported rather than replaced and the benefits of both are leveraged appropriately. Further research and case studies of applications based on AI should be conducted, driven by the Industry 5.0 pillar of human-centricity.
Topics of interest include but are not limited to:
- Human-centric AI applications in manufacturing
- Digital Twins for human–machine collaboration
- AI-driven approaches to sustainability and resource efficiency
- Resilient manufacturing systems enabled by AI
- Safety, ethics, and trust in AI-based industrial systems
- Cognitive robotics and human–robot interaction in Industry 5.0
- Computer Vision applications for monitoring, inspection, and quality control
- Generative AI for design, optimization, and decision support
- Case studies demonstrating successful AI deployment in manufacturing
- Frameworks or models ensuring human agency and creativity in AI-assisted environments
- Socio-technical perspectives on integrating AI in Industry 5.0 systems
- Hybrid intelligence systems combining human expertise with AI capabilities
Prof. Dr. Dimitris Mourtzis
Prof. Dr. Sotiris Nikoletseas
Guest Editors
Manuscript Submission Information
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Keywords
- Industry 5.0
- artificial intelligence
- human-centric manufacturing
- sustainability
- resilience
- human–machine collaboration
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