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

Vaishakhi Suresh1, Srinivas Konda2, Justin M Haney2

  • 1Electric Power Research Institute, Charlotte, North Carolina, USA.

American Journal of Industrial Medicine
|March 3, 2026
PubMed
Summary
This summary is machine-generated.

Robot adoption is increasing, but robot-related injuries are understudied. Analysis of workers' compensation claims reveals common injury types and costs, highlighting the need for targeted safety measures in collaborative robotics.

Keywords:
injuriesoccupationalrobotsafetyworkers' compensation

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Area of Science:

  • Robotics and Human-Robot Interaction
  • Occupational Safety and Health
  • Industrial Engineering

Background:

  • Increased adoption of collaborative robots necessitates addressing new safety challenges.
  • Limited research exists on robot-related injuries and their impact.
  • Human-robot interaction is growing with advancements in robotics.

Purpose of the Study:

  • To analyze robot-related workers' compensation claims from 2001-2020.
  • To identify injury patterns, demographics, and costs associated with robot use.
  • To inform safety strategies for robotic applications in the workplace.

Main Methods:

  • Data sourced from the Ohio Bureau of Workers' Compensation (OHBWC) database (2001-2020).
  • Keyword search used to identify robot-related workers' compensation claims.
  • Descriptive analyses performed on the claims dataset.

Main Results:

  • 1076 robot-related claims identified; 85% were medical-only.
  • Contact with objects (57.9%) and overexertion (20.6%) were primary causes.
  • Manufacturing sector dominated claims (75.1%); collaborative robotic arms were common (75.7%).
  • Total costs exceeded $8.3 million, with lost-time claims accounting for 91%.

Conclusions:

  • Robots introduce new workplace hazards despite reducing risks in hazardous tasks.
  • Need for research into robot-related injuries and high-risk exposures.
  • Development of sector- and application-specific safety approaches is crucial for safer robot implementation.