The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works

Alberto Borboni*, Karna Vishnu Vardhana Reddy, Irraivan Elamvazuthi, Maged S. AL-Quraishi, Elango Natarajan, Syed Saad Azhar Ali

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations


A collaborative robot, or cobot, enables users to work closely with it through direct communication without the use of traditional barricades. Cobots eliminate the gap that has historically existed between industrial robots and humans while they work within fences. Cobots can be used for a variety of tasks, from communication robots in public areas and logistic or supply chain robots that move materials inside a building, to articulated or industrial robots that assist in automating tasks which are not ergonomically sound, such as assisting individuals in carrying large parts, or assembly lines. Human faith in collaboration has increased through human–robot collaboration applications built with dependability and safety in mind, which also enhances employee performance and working circumstances. Artificial intelligence and cobots are becoming more accessible due to advanced technology and new processor generations. Cobots are now being changed from science fiction to science through machine learning. They can quickly respond to change, decrease expenses, and enhance user experience. In order to identify the existing and potential expanding role of artificial intelligence in cobots for industrial applications, this paper provides a systematic literature review of the latest research publications between 2018 and 2022. It concludes by discussing various difficulties in current industrial collaborative robots and provides direction for future research.

Original languageEnglish
Article number111
Issue number1
StatePublished - Jan 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.


  • artificial intelligence
  • cobots
  • collaborative robots
  • deep learning
  • human–robot interaction
  • machine learning
  • reinforcement learning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science (miscellaneous)
  • Mechanical Engineering
  • Control and Optimization
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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