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NIOSH reports on construction site robot perception and navigation projects
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The U.S. National Institute for Occupational Safety and Health (NIOSH) published a bulletin introducing two construction site robot perception and navigation projects: one uses computer vision to detect potential collisions while a masonry robot assists workers in placing concrete blocks, and the other uses aerial video to identify workers, equipment, and openings that may create fall risks. NIOSH states that both scenarios are affected by dust obscuring sensors, lighting changes within a shift, and equipment and building materials blocking camera views; mobile robots also face uneven ground and changes in temporary pathways. The bulletin recommends tracking sensor failures, localization failures, and the frequency of manual takeovers during deployment, and distinguishing between using cameras to flag hazards for review and relying on them for shutdown protection. The bulletin does not provide validation conclusions on the effectiveness of the above projects.
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- NIOSH construction-site robot perception and navigation projects: masonry robot collision avoidance and aerial fall-risk identification
Two NIOSH projects use computer vision to detect potential collisions while a masonry robot assists workers in placing concrete blocks, and to identify workers, equipment, and openings that may create fall risks from aerial video. Both scenarios are affected by dust obscuring sensors, lighting changes within a shift, and equipment and building materials blocking camera views; mobile robots also face uneven ground and changing temporary pathways. The NIOSH bulletin recommends tracking sensor failures, localization failures, and manual takeover frequency during deployment, and distinguishing between using cameras to flag hazards for review and relying on them for shutdown protection.
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