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Context-Aware Systems and Applications. 12th EAI International Conference, ICCASA 2023, Ho Chi Minh City, Vietnam, October 26-27, 2023, Proceedings

Research Article

Systematic Review of Smart Robotic Manufacturing in the Context of Industry 4.0

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-58878-5_2,
        author={Lu Anh Duy Phan and Ha Quang Thinh Ngo},
        title={Systematic Review of Smart Robotic Manufacturing in the Context of Industry 4.0},
        proceedings={Context-Aware Systems and Applications. 12th EAI International Conference, ICCASA 2023, Ho Chi Minh City, Vietnam, October 26-27, 2023, Proceedings},
        proceedings_a={ICCASA},
        year={2024},
        month={8},
        keywords={Intelligent Robot Collaborative Robot Smart Manufacturing Predictive Model Advanced Interaction},
        doi={10.1007/978-3-031-58878-5_2}
    }
    
  • Lu Anh Duy Phan
    Ha Quang Thinh Ngo
    Year: 2024
    Systematic Review of Smart Robotic Manufacturing in the Context of Industry 4.0
    ICCASA
    Springer
    DOI: 10.1007/978-3-031-58878-5_2
Lu Anh Duy Phan1, Ha Quang Thinh Ngo1,*
  • 1: Department of Mechatronics, Faculty of Mechanical Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street
*Contact email: nhqthinh@hcmut.edu.vn

Abstract

In the rapidly evolving landscape of industrial revolution, smart robotic manufacturing has emerged as a game-changing phenomenon, revolutionizing traditional production processes, and unlocking unprecedented levels of productivity and safety. At the core of this transformative paradigm lies the seamless integration of artificial intelligence (AI) models, empowering autonomous robotic systems to carry out complex tasks with unparalleled precision and efficiency. This systematic review endeavors to explore the synergistic relationship between smart robotic manufacturing and AI technologies, delving into the various advancements, challenges, and potential implications for industrial sectors. By shedding light on the cutting-edge innovations and practical insights, this work aims to provide a valuable resource for researchers, industrialists, and policymakers seeking to leverage the transformative potential of AI-driven smart robotic manufacturing in the era of Industry 4.0.

Keywords
Intelligent Robot Collaborative Robot Smart Manufacturing Predictive Model Advanced Interaction
Published
2024-08-19
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-58878-5_2
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