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Robot-Related Workers' Compensation Claims in Ohio, 2001-2020.

Supporting Files
File Language:
English


Details

  • Alternative Title:
    American Journal of Industrial Medicine, 2026, v. 69, no. 5: Robot-Related Workers' Compensation Claims in Ohio, 2001-2020.
  • Journal Article:
    American Journal of Industrial Medicine
  • Personal Author:
  • Description:
    Increased robot adoption and advancements in robotics have led to the emergence of robotic arms for collaborative applications that work alongside humans, increasing direct human-robot interaction. This shift highlights the need to address new safety challenges posed by emerging robotic technologies. Currently, there is limited research on robot-related injuries.

    Robot-related workers' compensation claims from 2001 to 2020 were identified using a keyword search from the Ohio Bureau of Workers' Compensation (OHBWC) database. Descriptive analyses were conducted on this claims dataset.

    From 2001 to 2020, 1076 robot-related claims were identified, with 85% medical-only claims (medical care only and/or ≤ 7 days away from work). Most claimants were male (74.2%), and 51.1% were 25-44 years old. More than half of the claims were due to contact with objects and equipment (57.9%), followed by overexertion and bodily reaction (20.6%). Most injuries occurred in the manufacturing sector (75.1%), followed by the service sector (14.7%). The claims resulted in over $8.3 million in costs. Of this figure, 91% was incurred due to lost-time claims ($7.6 million). Almost 30% of claims included diagnoses from multiple diagnosis groups. Most claims involved working with robotic arms for collaborative applications (75.7%) in a shared workspace.

    Robotics is rapidly evolving to remove workers from hazardous environments and reduce risks from hazardous, repetitive, and manual tasks, but it may introduce new workplace hazards. There is a need to study robot-related injuries, identify high-risk exposures, and develop sector- or application-specific comprehensive safety approaches for safer implementation of robots in the workplace.
  • Content Notes:
    Author manuscript
  • Subjects:
  • Keywords:
  • Source:
    American Journal of Industrial Medicine, 2026, v. 69, no. 5
  • DOI:
  • ISSN:
    0271-3586 ; 1097-0274
  • Pubmed ID:
    41773745
  • Pubmed Central ID:
    PMC13130054
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • Pages in Document:
    345-357 (26 pdf pages)
  • Volume:
    69
  • Issue:
    5
  • Download URL:
  • File Type:
    Filetype[PDF - 1.12 MB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:af4a5a7aea0806158a7b0903159b9de263e642339d2ef3cde39a8fa7de112571dc72734e6845fcdb2ec6670a44a125127fb11ee77cf71a2fc0ef83109f22b8fa
File Language:
English
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