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Article detail · 2024

Intelligent robotic systems in Industry 4.0: A review

Journal of Advanced Manufacturing Science and Technology

YÖKSİS OpenAlex ISSN 2709-2135 DOI 10.51393/j.jamst.2024007 Citations 67 Open access · hybrid SJR Q1

10.51393/j.jamst.2024007

YÖKSİS YÖKSİS article record

OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex record

English (OpenAlex)

As Industry 4.0 continues to transform the landscape of modern manufacturing, the integration of intelligent robotic systems has emerged as a pivotal factor in enhancing efficiency, flexibility, and overall productivity. The Integration of intelligent robotic systems within the framework of Industry 4.0 represents a transformative shift in advanced manufacturing systems. The integration of intelligent robotic systems in Industry 4.0 has significantly reduced production costs while simultaneously improving product quality. The intelligent decision-making capabilities of robotic systems in Industry 4.0 have played a pivotal role in minimizing downtime in order to enhance productivity in process of part manufacturing. Intelligent robotic systems in Industry 4.0 has not only increased production efficiency but has also contributed to a more sustainable and eco-friendly manufacturing environment through optimized resource utilization. This review explores the key aspects, benefits, and challenges associated with the deployment of intelligent robotic systems in Industry 4.0. The review analyze the cutting-edge advancements in artificial intelligence, machine learning, and sensor technologies that contribute to the evolution of intelligent robotic systems in Industry 4.0. The discussion extends to emerging trends in intelligent robotic systems including digital twin, blockchain, Internet of Things, artificial intelligent and the integration of advanced analytics for real-time decision support systems. Challenges and considerations surrounding the implementation of intelligent robotic systems in Industry 4.0 are thoroughly examined, ranging from technical hurdles to ethical and societal implications. Finally, the review concludes with a forward-looking perspective on the future trajectory of intelligent robotic systems in Industry 4.0. As a result, the study can provide a roadmap for researchers and industry professionals to navigate the evolving landscape of intelligent robotics in the era of Industry 4.0.

OpenAlex enrichment

Topics

  • Digital Transformation in Industry
  • Industrial Vision Systems and Defect Detection
  • Advanced Manufacturing and Logistics Optimization

Type: article Digital Transformation in Industry

Index information

WoS (JCR) and Scopus (SJR) quartiles by ISSN and publication year. · 2024

Scopus (SJR) / WoS (JCR)

Journal of Advanced Manufacturing Science and Technology

Scopus (SJR) Q1 1,133 Year 2024

Universities

  • İSTANBUL AYDIN ÜNİVERSİTESİ

Authors

  1. MOHSEN SOORI İSTANBUL AYDIN ÜNİVERSİTESİ