Journal of Computing and Natural Science

Ensuring Safety in Industrial Robots: Issues, Consequences and Solutions

Journal of Computing and Natural Science

Received On : 02 June 2023

Revised On : 06 August 2023

Accepted On : 24 October 2023

Published On : 05 April 2024

Volume 04, Issue 02

Pages : 075-084


In this paper, a discussion of the safety issues in robotics are provided, categorizing them into three major origins: unfavorable environmental factors; human errors, and technical deficiencies. Information related to robotic accidents was retrieved from the Ministry of Employment and Labor (MOEL) and Korea Occupational safety and Health Agency (KOSHA) in Korea. Accidents are classified into root and direct causes, and these causes are reviewed through the application of the Systematic Causal Analysis Technique (SCAT). This research continues to emphasize that the risks, such maintenance of people, and robotic operations, are the most susceptible during interactions with robots. The research explores the classification of accidents in robots, causes of injuries, and the necessity for personalized safety measures. In addition, it presents a discussion of the lack of assurance, safeguards, and confidentiality aspect in robotics, and the detrimental effect this has on enterprises. Lastly, the paper highlights the effects of industrial robot mishaps, such as human injuries and casualties, data privacy and breach apprehension, and effects of corporate brand. It explores the safety concerns and measures from legislation emphasizing the necessity of establishing a balance between security and efficiency.


Human-Robot Collaboration, Human-Robot Interaction, Safety of Industrial Robots, International Organization for Standardization, Small and Medium-Sized Enterprises.

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Cite this article

Francisco Pedro, “Ensuring Safety in Industrial Robots: Issues, Consequences and Solutions”, Journal of Computing and Natural Science, vol.4, no.2, pp. 075-084, April 2024. doi: 10.53759/181X/JCNS202404008.


© 2024 Francisco Pedro. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.