Author
Abstract
Smart manufacturing is the product of rapid convergence in several fields, including Cyber-Physical Systems (CPS), robotics, Digital Twin (DT) technology, and the quickly developing Internet of Things (IoT). Various CPS architectures are discussed in the study, including the 5C model and layered systems of intelligent manufacturing systems. The paper also covers their roles in real-time data acquisition, analytics, cognition, and self-configuration. The paper also delves into the CPS integration with IoT, which focuses on coordinated control, interoperability and scalable connectivity. Real-time aligning of physical and virtual resources enhanced the management of the lifecycle, predictive maintenance and optimization of processes because of the introduction of Digital twins. Additionally, as robotics and collaboration between humans and robots evolve further, autonomous, flexible, and secure industrial environment based on the principles of the Industry 4.0 can be achieved. The new trends in the IoT, which include edge computing, the integration of AI and machine learning, 5G connectivity, blockchain, sustainable, and remote monitoring, are transforming the industrial automation. The combination of these technologies forms intelligent and adaptive and data-driven manufacturing ecosystems that make processes more productive and resilient, efficient in operations, and globally competitive.
Suggested Citation
Nikhil Pai, 2026.
"Smart Factory Evolution: Emerging IoT Manufacturing Trends with CPS and Robotic Automation,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 12(2), pages 256-270, April.
Handle:
RePEc:jbh:ijsrcs:v12:y2026:i2:id:1923
DOI: 10.32628/CSEIT26121334
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT26121334
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