Symbiotic human-robot collaborative assembly

L. Wang, R. Gao, J. Váncza, J. Krüger, X. V. Wang, S. Makris, G. Chryssolouris

Research output: Contribution to journalArticle

24 Citations (Scopus)


In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions.

Original languageEnglish
Pages (from-to)701-726
Number of pages26
JournalCIRP Annals
Issue number2
Publication statusPublished - 2019


  • Assembly
  • Human-robot collaboration
  • Robot

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Wang, L., Gao, R., Váncza, J., Krüger, J., Wang, X. V., Makris, S., & Chryssolouris, G. (2019). Symbiotic human-robot collaborative assembly. CIRP Annals, 68(2), 701-726.