Trends in Robotics Research in Occupational Safety and Health: A Scientometric Analysis and Review

Ci-Jyun Liang () and Marvin H. Cheng
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Ci-Jyun Liang: Division of Safety Research, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA
Marvin H. Cheng: Division of Safety Research, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA

IJERPH, 2023, vol. 20, issue 10, 1-21

Abstract: Robots have been deployed in workplaces to assist, work alongside, or collaborate with human workers on various tasks, which introduces new occupational safety and health hazards and requires research efforts to address these issues. This study investigated the research trends for robotic applications in occupational safety and health. The scientometric method was applied to quantitatively analyze the relationships between robotics applications in the literature. The keywords “robot”, “occupational safety and health”, and their variants were used to find relevant articles. A total of 137 relevant articles published during 2012–2022 were collected from the Scopus database for this analysis. Keyword co-occurrence, cluster, bibliographic coupling, and co-citation analyses were conducted using VOSviewer to determine the major research topics, keywords, co-authorship, and key publications. Robot safety, exoskeletons and work-related musculoskeletal disorders, human–robot collaboration, and monitoring were four popular research topics in the field. Finally, research gaps and future research directions were identified based on the analysis results, including additional efforts regarding warehousing, agriculture, mining, and construction robots research; personal protective equipment; and multi-robot collaboration. The major contributions of the study include identifying the current trends in the application of robotics in the occupational safety and health discipline and providing pathways for future research in this discipline.

Keywords: occupational safety and health; robotics; research trends; scientometric analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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