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Development of safety diagnostic robot for industrial plant environment

Authors
HYEON, C. J.[HYEON, CHOI JUN]CHAN, A. Y.[CHAN, AN YE]Joo, S.-H.[Joo, S.-H.]Kuc, T.-Y.[Kuc, T.-Y.]
Issue Date
2021
Publisher
IEEE Computer Society
Keywords
Autonomous navigation; diagnostic; industrial plants; inspection; robotics; safety diagnostic
Citation
International Conference on Control, Automation and Systems, v.2021-October, pp.947 - 950
Indexed
SCOPUS
Journal Title
International Conference on Control, Automation and Systems
Volume
2021-October
Start Page
947
End Page
950
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/96775
DOI
10.23919/ICCAS52745.2021.9650041
ISSN
1598-7833
Abstract
In this paper, a robot for safety diagnosis is presented to solve the problem of safety diagnosis at industrial plant sites. Safety diagnosis is essential for industrial plants because accidents at industrial plants cause huge economic losses as well as casualties. However, safety diagnosis is difficult due to various dangers such as suffocation and gas explosions in industrial factories. Therefore, we have developed a robot that performs safety diagnoses instead of humans. We designed a mobile robot with various environmental sensors for safety diagnosis and autonomous navigation and installed autonomous mission performance software to enable unmanned safety diagnosis. When a robot receives a mission from the manager, it plans suitable for the mission and moves autonomously through an autonomous navigation algorithm and conducts safety diagnosis at the target point. It also visually shows the current state through the user interface and informs the user of the current diagnostic results. In this paper, we tested robots in an industrial plant environment and confirmed that robots can replace humans. © 2021 ICROS.
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