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• W4380884472 abstract "Introduction: Small mobile robots have become increasingly popular in the construction domain over the last few years. They are stable on rough terrains, can walk over small obstacles, climb stairs, and carry various sensors or arms to perform diverse functions and sub-tasks required to complete construction-related tasks. Saving time, improving accessibility to difficult or unsafe spaces, and reducing costs while accomplishing construction tasks are some of the benefits of using small, mobile robots in construction. However, serious concerns about new workplace hazards could arise from having mobile robots on the jobsite. Unfortunately, no study has attempted to evaluate these risks, especially in the construction domain. Therefore, there was a significant need to develop a holistic understanding of the direct and indirect risks of mobile robot applications in construction. Method: In this paper, we used inferential and Virtual Reality (VR) visualization techniques to: (1) construct conceptual visualizations of proximal and distant human-robot interaction within the construction context; and (2) identify potential safety challenges of robots, which were categorized into three groups: (a) physical risks, (b) attentional costs, and (c) psychological impacts. These identified safety challenges were then validated and ranked by a group of construction safety and robotic experts who had knowledge and experience using such robots in construction. Practical Applications: The outcomes of the study provided a detailed understanding of how robots might adversely affect workers’ safety and health. The study outcomes could also be ultimately used in creating regulatory and administrative guidelines for the safe operations of small mobile robots in construction." @default.
• W4380884472 created "2023-06-17" @default.
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• W4380884472 date "2023-09-01" @default.
• W4380884472 modified "2023-09-27" @default.
• W4380884472 title "Safe human-robot collaboration in construction: A conceptual perspective" @default.
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• W4380884472 doi "https://doi.org/10.1016/j.jsr.2023.06.006" @default.
• W4380884472 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37718066" @default.
• W4380884472 hasPublicationYear "2023" @default.
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