Adaptive robotic manufacturing using higher order knowledge systems

Narendrakrishnan Neythalath*, Asbjørn Søndergaard, Jakob Andreas Bærentzen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Despite a well-understood potential to increase productivity of the global construction industry and sustained, international research efforts in recent years, wide-scale adoption of robotic technology currently remains elusive in the industry. As part of a larger industrial research effort to increase the efficiency of automation technologies within construction, this paper proposes a novel multi-layered knowledge encapsulation model to enable low-cost development of highly diverse robotic control applications within a parametric manufacturing paradigm. The effectiveness of proposed theoretical framework has been validated by developing multiple industrial applications and resulted in almost 40% reduction in development time.

Original languageEnglish
Article number103702
JournalAutomation in Construction
Volume127
Number of pages7
ISSN0926-5805
DOIs
Publication statusPublished - Jul 2021

Bibliographical note

Funding Information:
This work is partly funded by the Innovation Fund Denmark (IFD) under File No. 7038-00108A .

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

  • Automation
  • Construction 4.0
  • Process optimization
  • Robotics

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