Evaluating Safety and Productivity Relationship in Human-Robot Collaboration

Aayush Jain, Shakra Mehak, Philip Long, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva

Research output: Contribution to conferencePaperpeer-review

Abstract

Collaborative robots can improve ergonomics on factory floors while allowing a higher level of flexibility in production. The evolution of robotics and cyber-physical systems in size and functionality has enabled new applications which were never foreseen in traditional industrial robots. However, the current human-robot collaboration (HRC) technologies are limited in reliability and safety, which are vital in risk-critical scenarios. Certainly, confusion about European safety regulations has led to situations where collaborative robots operate behind security barriers, thus negating their advantages while reducing overall application productivity. Despite recent advances, developing a safe collaborative robotic system for performing complex industrial or daily tasks remains a challenge. Multiple influential factors in HRC make it difficult to define a clear classification to understand the depth of collaboration between humans and robots. In this article, we review the state of the art in reliable collaborative robotic work cells and propose a reference model to combine influential factors such as robot autonomy, collaboration, and safety modes to redefine HRC categorization.
Original languageEnglish
DOIs
Publication statusPublished - 2022

Keywords

  • Collaborative robots
  • ergonomics
  • flexibility in production
  • robotics
  • cyber-physical systems
  • human-robot collaboration
  • reliability
  • safety
  • risk-critical scenarios
  • European safety regulations
  • security barriers
  • application productivity
  • collaborative robotic system
  • industrial tasks
  • daily tasks
  • robot autonomy
  • collaboration
  • safety modes
  • HRC categorization

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