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  4. Collaborative timber joint assembly: Augmented reality for multi-level human-robot interaction
 
research article

Collaborative timber joint assembly: Augmented reality for multi-level human-robot interaction

Rogeau, Nicolas  
•
Rezaei Rad, Aryan
December 1, 2024
International Journal of Architectural Computing

This research introduces an innovative Augmented Reality (AR) workflow for Human-Robot Interaction (HRI) in timber construction. The approach leverages human dexterity and adaptability alongside the strength and precision of robotic arms to assemble timber structures connected by wood-wood connections. While research in the field of automated construction generally focuses on singular interactions, such as robot agents carrying components and human agents attaching them, this paper explores multiple degrees of interaction involving cooperation or collaboration between agents. A new algorithmic framework is developed to automate the generation of holographic instructions and allocate assembly tasks to human and robot agents according to their abilities. The application to a full-scale demonstrator reveals that certain elements necessitate collaboration for assembly, while others can exclusively be assembled manually or robotically. Ultimately, the research also highlights the benefits of AR in assisting manual assembly, simulating robot trajectories, and increasing safety during collaborative tasks.

  • Details
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Type
research article
DOI
10.1177/14780771241286605
Scopus ID

2-s2.0-85206577313

Author(s)
Rogeau, Nicolas  

École Polytechnique Fédérale de Lausanne

Rezaei Rad, Aryan

University of Toronto

Date Issued

2024-12-01

Published in
International Journal of Architectural Computing
Volume

22

Issue

4

Start page

642

End page

660

Subjects

augmented reality

•

human-robot collaboration

•

human-robot cooperation

•

Human-robot interaction

•

integrated design

•

robotic assembly

•

timber construction

•

wood joinery

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SGC-ENS  
FunderFunding(s)Grant NumberGrant URL

Swiss National Science Foundation

P500PS_214312

Available on Infoscience
January 25, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/243871
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