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Augmented Reality for Human-Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature

Gabriel de Moura Costa1,2, Marcelo Roberto Petry2, António Paulo Moreira1,2

  • 1Department of Electrical and Computer Engineering, Faculdade de Engenharia da Universidade do Porto (FEUP), 4200-465 Porto, Portugal.

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Summary

Augmented Reality (AR) enhances human-robot collaboration in industry, improving operator performance and safety. Further research is needed to mature head-mounted displays (HMDs) and establish industry standards for AR assistance systems.

Keywords:
augmented realityhuman–robot collaborationhuman–robot cooperationmixed-reality

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Augmented Reality

Background:

  • The increasing use of collaborative robots in industrial settings necessitates improved human-robot interaction for enhanced production efficiency.
  • Augmented Reality (AR) is a key technology for facilitating seamless interaction between human operators and robots in industrial applications.

Purpose of the Study:

  • To systematically review and critically appraise 32 papers published between 2016 and 2021 on Augmented Reality for human-robot collaboration and cooperation.
  • To identify prevalent AR technologies, assess the current state-of-the-art, and highlight future research directions in this domain.

Main Methods:

  • Systematic literature review of 32 research papers published from 2016 to 2021.
  • Analysis of employed AR technologies and their impact on human-robot collaboration aspects.

Main Results:

  • Augmented Reality is an expanding research field, particularly with advancements in head-mounted displays (HMDs).
  • Projector-based and HMD AR approaches positively influence operator performance, task awareness, and safety.
  • Ergonomic aspects of HMDs require further development and maturation.

Conclusions:

  • Augmented Reality shows significant promise for improving industrial human-robot collaboration.
  • Future research should prioritize large-scale industrial assessments, user involvement, and the development of standardized AR assistance systems.