A multidimensional taxonomy for human-robot interaction in construction

  • Patrick B. Rodrigues
  • , Rashmi Singh
  • , Mert Oytun
  • , Pooya Adami
  • , Peter J. Woods
  • , Burcin Becerik-Gerber
  • , Lucio Soibelman
  • , Yasemin Copur-Gencturk
  • , Gale M. Lucas

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Despite the increased interest in construction robotics both in academia and the industry, insufficient attention has been given to aspects related to Human-Robot Interaction (HRI). Characterizing HRI for construction tasks can help researchers organize knowledge in a structured manner that allows for classifying construction robotics applications and comparing and benchmarking different studies. This paper builds upon existing taxonomies and empirical studies in HRI in various industries (e.g., construction, manufacturing, and military, among others) to propose a multidimensional taxonomy to characterize HRI applications in the construction industry. The taxonomy design followed a systematic literature review in which common themes were identified and grouped into 16 categories. The proposed taxonomy can be used as a foundation for systematic reviews and meta-analyses of HRI applications in construction and can benefit the construction industry by informing the design of collaborative tasks performed by human-robot teams.

Original languageEnglish (US)
Article number104845
JournalAutomation in Construction
Volume150
DOIs
StatePublished - Jun 2023
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

Keywords

  • Collaborative tasks
  • Construction
  • Human-Robot Interaction (HRI)
  • Taxonomy

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