국제학술발표논문집 (International conference on construction engineering and project management)

한국건설관리학회 (Korea Institute of Construction Engineering and Management)
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Errors in Human-Robot Interaction Accidents: A Taxonomy and Network Analysis

  • Brian H.W. GUO (Department of Civil and Natural Resources Engineering, Faculty of Engineering, University of Canterbury) ;
  • Yonger ZUO (Department of Civil and Natural Resources Engineering, Faculty of Engineering, University of Canterbury) ;
  • Yang Miang Goh (Department of Built Environment, National University of Singapore) ;
  • Jae-Yong Lim (Department of Safety Engineering, Seoul National University of Science and Technology)
  • 발행 : 2024.07.29
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초록

To enhance the investigation, analysis, and design of safe human-robot interactions (HRI), this study develops a comprehensive taxonomy of safety-related errors in HRI and examines the relationships between errors and the types and levels of HRI. Analyzing 262 HRI accident case reports, the research identifies and categorizes human and robot errors through qualitative analysis. The resulting taxonomy divides human errors into procedure, intrusion, operation, and situation awareness errors, and robot errors into system and safeguarding failures, operational errors, and design flaws. A network of human and robot errors was developed by applying Gephi to represent the human-robot error interactions. The results indicated that "misjudgment of the robot's operational status," "inadvertent activation of the robot," "working within an energized robotic cell without adequate safety measures," and "failure to deenergize/stop the robot" are among those most frequently linked to robot errors. "Inadequate lockout/tagout" and "absence of human detection and protective stop functions" stand out as the most frequent human-robot error interaction.

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