Artificial Intelligence and Robotics in Smart Manufacturing: A Systematic Literature Review toward Industry 5.0
DOI:
https://doi.org/10.54518/jaei.1.1.2023.1206Keywords:
Artificial Intelligence, Digital Twin, Industry 4.0, Robotics, Smart ManufacturingAbstract
The rapid development of Industry 4.0 has accelerated the transformation of manufacturing systems through the integration of Artificial Intelligence (AI), robotics, the Industrial Internet of Things (IIoT), Big Data Analytics, Cloud Computing, and Digital Twin technologies. The convergence of these technologies enables the development of intelligent, adaptive, efficient, and data-driven manufacturing systems. This study aims to examine the implementation of AI and robotics in Smart Manufacturing, identify their benefits, implementation challenges, and future development toward Industry 5.0. The research employed a Systematic Literature Review (SLR) by analyzing scientific publications published over the last five years and indexed in Google Scholar. The review indicates that AI and robotics have been widely implemented in production planning, quality control, predictive maintenance, material handling, assembly, and packaging processes. Their implementation significantly improves productivity, operational efficiency, product quality, manufacturing flexibility, and workplace safety. Nevertheless, several challenges remain, including high investment costs, system interoperability, cybersecurity, digital infrastructure, and workforce competencies. The findings demonstrate that the integration of AI, robotics, and supporting digital technologies constitutes the fundamental framework for developing sustainable Smart Manufacturing systems while supporting human-centered collaboration in the industry 5.0 era.
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