Exploring the utility of robots in exposure studies.

J Expo Sci Environ Epidemiol

ExxonMobil Biomedical Sciences Inc., Spring, TX, 77389, USA.

Published: July 2021

AI Article Synopsis

  • Obtaining valid exposure data is challenging for health professionals, prompting a study to explore the use of a robotic platform as an alternative to human subjects in exposure research.
  • Robots can conduct repetitive tasks efficiently without fatigue, simplifying data collection and eliminating the need for volunteer recruitment and health ethics reviews.
  • In this study, a humanoid robot painted drywall while measuring air concentrations of volatile organic compounds, showing that robot-generated exposure data aligns with existing models, indicating a viable method for future research.

Article Abstract

Obtaining valid, reliable quantitative exposure data can be a significant challenge for industrial hygienists, exposure scientists, and other health science professionals. In this proof-of-concept study, a robotic platform was programmed to perform a simple task as a plausible alternative to human subjects in exposure studies for generating exposure data. The use of robots offers several advantages over the use of humans. Research can be completed more efficiently and there is no need to recruit, screen, or train volunteers. In addition, robots can perform tasks repeatedly without getting tired allowing for collection of an unlimited number of measurements using different chemicals to assess exposure impacts from formulation changes and new product development. The use of robots also eliminates concerns with intentional human exposures while removing health research ethics review requirements which are time consuming. In this study, a humanoid robot was programmed to paint drywall, while volatile organic compounds were measured in air for comparison to model estimates. The measured air concentrations generally agreed with more advanced exposure model estimates. These findings suggest that robots have potential as a methodology for generating exposure measurements relevant to human activities, but without using human subjects.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234925PMC
http://dx.doi.org/10.1038/s41370-019-0190-xDOI Listing

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