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Generic design aided robotically facade pick and place in construction site dataset.

Ahmed Khairadeen Ali1, One Jae Lee2, Hayub Song1

  • 1School of Architecture and Building Science, Chung Ang University, Seoul, Republic of Korea.

Data in Brief
|July 21, 2020
PubMed
Summary

This dataset optimizes robot arm and facade placement using generative design for construction. It enhances safety and productivity by minimizing collisions and travel time in facade assembly.

Keywords:
AI decision makingAutomation in constructionFacade designGenerative designRobot in constructionRobotics in architecture

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Area of Science:

  • Robotics and Automation in Construction
  • Generative Design
  • Construction Site Optimization

Background:

  • Facade assembly is complex, requiring precise robot arm and module placement.
  • Current methods may lead to inefficiencies, collisions, and increased risk.
  • Optimizing robot spatial location is crucial for construction productivity.

Purpose of the Study:

  • To present a dataset and method for optimizing robot arm and facade module placement in construction sites.
  • To introduce the iFOBOT dataset, comprising three sub-datasets for facade assembly tasks.
  • To provide a generative design approach for improving construction site operations.

Main Methods:

  • Utilizing a set of generative algorithms in graphical algorithm editors.
  • Dividing the dataset (iFOBOT) into iFOBOT-D, iFOBOT-B, and iFOBOT-L for specific subtasks.
  • Including sample projects, scripts, and outcome results for user guidance.

Main Results:

  • Optimized placement of robot arm workstations to minimize collisions.
  • Reduced reachability issues and robot travel time during facade assembly.
  • Parametric format enabling reusability of the dataset and developed tools.

Conclusions:

  • The iFOBOT dataset offers a method for optimizing robot-based facade assembly.
  • This approach can significantly minimize risks and increase productivity in construction.
  • The parametric nature and provided guidance facilitate practical application in job sites.