A collaborative intelligence-based approach for handling human-robot collaboration uncertainties

Pai Zheng, Shufei Li, Junming Fan, Chengxi Li, Lihui Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Human-Robot Collaboration (HRC) has played a pivotal role in today's human-centric smart manufacturing scenarios. Nevertheless, limited concerns have been given to HRC uncertainties. By integrating both human and artificial intelligence, this paper proposes a Collaborative Intelligence (CI)-based approach for handling three major types of HRC uncertainties (i.e., human, robot and task uncertainties). A fine-grained human digital twin modelling method is introduced to address human uncertainties with better robotic assistance. Meanwhile, a learning from demonstration approach is offered to handle robotic task uncertainties with human intelligence. Lastly, the feasibility of the proposed CI has been demonstrated in an illustrative HRC assembly task.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalCIRP Annals
Volume72
Issue number1
DOIs
Publication statusE-pub ahead of print - Jul 2023

Keywords

  • Collaborative intelligence
  • Human-robot collaboration
  • Manufacturing system

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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