AI and Industry 4.0
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 11
Special Issue Editors
Interests: internet of things; real-time embedded systems; time-sensitive networking; fault-tolerant scheduling
Interests: edge computing; computility network; intelligent networking
Special Issue Information
Dear Colleagues,
The convergence of artificial intelligence (AI) and Industry 4.0 is revolutionizing the landscape of industrial systems by embedding intelligence directly into machines, production lines, and control architectures. At the heart of this transformation lies a mutually reinforcing relationship: Industry 4.0 provides multi-modal data and mission-critical application scenarios, while AI technologies enable advanced perception, decision-making, and autonomy. This synergy is embodied in a new generation of smart industrial assets, ranging from collaborative robots and autonomous mobile platforms to adaptive process controllers and intelligent manufacturing cells, which together constitute embodied intelligence systems. These systems not only perform complex operations with human-free intervention but also learn and adapt in real time based on their interactions with the physical and cyber environment. While AI introduces unprecedented results for predictive maintenance, quality control, and closed-loop optimization, the industrial context imposes strict requirements that challenge conventional AI paradigms. AI models should be explainable, resilient to environmental variations, and deployable under constrained hardware resources. In addition, decisions must meet hard real-time constraints, and networked systems must function reliably in dynamic, safety-critical environments.
The goal of this Special Issue is to present the latest research and development efforts addressing the AI and Industry 4.0 problem.
Topics of interest include, but are not limited to, the following:
- Embodied intelligence for manufacturing and logistics.
- Industrial agent architectures and coordination.
- Multi-modal, uncertainty-aware sensor fusion.
- Time-Sensitive Networking (TSN) and 5G for deterministic AI pipelines.
- Real-time, deadline-aware inference, and co-scheduling.
- Trustworthy industrial AI (robustness, explainability, verification, and certification).
- Privacy-preserving/federated learning and data governance.
We look forward to receiving your contributions.
Dr. Zhiwei Feng
Prof. Dr. Qiang He
Dr. Bingxian Lu
Guest Editors
Manuscript Submission Information
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Keywords
- Industry 4.0
- embodied intelligence systems
- time-sensitive networking
- industrial agent
- industrial sensor fusion
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