Literature DB >> 35408339

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

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

Abstract

With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human-robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human-robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers' published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human-robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution's target audience, and on establishing standards and guidelines for developing AR assistance systems.

Entities:  

Keywords:  augmented reality; human–robot collaboration; human–robot cooperation; mixed-reality

Mesh:

Year:  2022        PMID: 35408339      PMCID: PMC9003100          DOI: 10.3390/s22072725

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  6 in total

Review 1.  A typology of reviews: an analysis of 14 review types and associated methodologies.

Authors:  Maria J Grant; Andrew Booth
Journal:  Health Info Libr J       Date:  2009-06

2.  Method for conducting systematic literature review and meta-analysis for environmental science research.

Authors:  Wondimagegn Mengist; Teshome Soromessa; Gudina Legese
Journal:  MethodsX       Date:  2019-12-19

3.  Comparing Human Factors for Augmented Reality Supported Single-User and Collaborative Repair Operations of Industrial Robots.

Authors:  Doris Aschenbrenner; Florian Leutert; Argun Çençen; Jouke Verlinden; Klaus Schilling; Marc Latoschik; Stephan Lukosch
Journal:  Front Robot AI       Date:  2019-05-31

4.  Trends of Human-Robot Collaboration in Industry Contexts: Handover, Learning, and Metrics.

Authors:  Afonso Castro; Filipe Silva; Vitor Santos
Journal:  Sensors (Basel)       Date:  2021-06-15       Impact factor: 3.576

5.  A Fog Computing and Cloudlet Based Augmented Reality System for the Industry 4.0 Shipyard.

Authors:  Tiago M Fernández-Caramés; Paula Fraga-Lamas; Manuel Suárez-Albela; Miguel Vilar-Montesinos
Journal:  Sensors (Basel)       Date:  2018-06-02       Impact factor: 3.576

  6 in total
  3 in total

Review 1.  What Is Significant in Modern Augmented Reality: A Systematic Analysis of Existing Reviews.

Authors:  Athanasios Nikolaidis
Journal:  J Imaging       Date:  2022-05-21

2.  Task-Oriented Evaluation of the Feasible Kinematic Directional Capabilities for Robot Machining.

Authors:  Saša Stradovnik; Aleš Hace
Journal:  Sensors (Basel)       Date:  2022-06-03       Impact factor: 3.847

3.  Benchmarking Built-In Tracking Systems for Indoor AR Applications on Popular Mobile Devices.

Authors:  Emanuele Marino; Fabio Bruno; Loris Barbieri; Antonio Lagudi
Journal:  Sensors (Basel)       Date:  2022-07-19       Impact factor: 3.847

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.