<p>Batt thermal insulation is widely used in the building construction industry due to its cost-effectiveness in achieving high thermal resistance. However, the installation of batt insulation in building prefabrication remains underdeveloped in terms of automation and currently relies solely on manual and labor-intensive methods. This research introduces an innovative robotic method designed to automate the installation of batt thermal insulation into prefabricated wood wall frames. The robotic method employed a 6-degree-of-freedom robot arm, a custom-built end effector, and motion generation algorithms, executing the installation through a sequence of five key steps: grasp, lift, place, press and roll (GLPPR). These steps were specifically tailored to handle the non-linear, deformable characteristics of batt insulation, ensuring a tight-fit into the wall frames without visible gaps. Tested on both mineral wool and fiberglass insulation across various frame sizes, the method demonstrated a high success rate of 92.5%, proving its effectiveness and adaptability. By automating this aspect of prefabrication, the proposed system aimed to leverage the inherent advantages of the robot arm, thereby enhancing construction productivity through continuous operation and scalability, and improving work safety by minimizing exposure to hazardous compounds and reducing ergonomic injuries.</p>

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A robotic method for installing batt thermal insulation into prefabricated light-frame wood wall panel

  • Xiao Han,
  • Cheng-Hsuan Yang,
  • Yuxiang Chen

摘要

Batt thermal insulation is widely used in the building construction industry due to its cost-effectiveness in achieving high thermal resistance. However, the installation of batt insulation in building prefabrication remains underdeveloped in terms of automation and currently relies solely on manual and labor-intensive methods. This research introduces an innovative robotic method designed to automate the installation of batt thermal insulation into prefabricated wood wall frames. The robotic method employed a 6-degree-of-freedom robot arm, a custom-built end effector, and motion generation algorithms, executing the installation through a sequence of five key steps: grasp, lift, place, press and roll (GLPPR). These steps were specifically tailored to handle the non-linear, deformable characteristics of batt insulation, ensuring a tight-fit into the wall frames without visible gaps. Tested on both mineral wool and fiberglass insulation across various frame sizes, the method demonstrated a high success rate of 92.5%, proving its effectiveness and adaptability. By automating this aspect of prefabrication, the proposed system aimed to leverage the inherent advantages of the robot arm, thereby enhancing construction productivity through continuous operation and scalability, and improving work safety by minimizing exposure to hazardous compounds and reducing ergonomic injuries.