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A Robotic Method to Insert Batt Insulation into Light-Frame Wood Wall for Panel Prefabrications

  • Xiao Han
  • Cheng-Hsuan Yang
  • Yuxiang Chen
  • Alejandra Hernandez Sanchez

Currently, industrial robot arms are trending in prefabricated building construction; however, a notable gap exists in established automated processes and related research specifically for the insertion of batt thermal insulation. The current method for accomplishing this task relies on manual insertion, which is labour-intensive for the workers and poses long-term health and safety concerns. This research presents an ongoing research project aimed at developing a feasible robotic process for the automated insertion of batt thermal insulation into prefabricated light-frame wood wall frames. This research focuses on the utilization of a single 6-degree-of-freedom robot arm for the insertion process, complimented by the design of a custom-built end-effector. The proposed robotic insertion process, named GLITPP, comprises of six major steps: (1) Grasp, (2) Lift, (3) Insert, (4) Tilt, (5) Push, and (6) Press. The GLITPP insertion process, along with the custom-built end-effector effectively mitigates the influence of the insulation’s nonlinear mechanical properties, while also taking collision avoidance into consideration. This ensures a tight-fitting insulation within the frame cavity, without visible gaps and deficiencies. The necessary physical operating parameters for the insertion process, such as angles, offset, and force requirements, are identified to ensure the precision, efficiency, and repeatability of insertion. A prototype of the designed end-effector is used to demonstrate and validate the robotic method, achieved a high success rate of 93.3%. The development of this research will further advance the complete automation of light-frame wood wall panel prefabrication, offering the industry a wider range of options for selecting thermal insulation for their processes

  • Keywords:
  • Robotic Building Prefabrication; Robotic Insertion; Light-frame Wood Construction; Robotic End-effector; Automation in Construction; Thermal Insulation,
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Xiao Han

University of Alberta, Canada

Cheng-Hsuan Yang

University of Alberta, Canada - ORCID: 0000-0001-7907-6590

Yuxiang Chen

University of Alberta, Canada - ORCID: 0000-0003-4651-5029

Alejandra Hernandez Sanchez

Institute of Advanced Materials for the Sustainable Manufacturing Tecnológico de Monterrey,, Mexico

  1. Arriola-Rios, V. E., Guler, P., Ficuciello, F., Kragic, D., Siciliano, B., & Wyatt, J. L. (2020). Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review. Frontiers in Robotics and AI, 7, 82. DOI: 10.3389/frobt.2020.00082
  2. Automated Spray Foam Machines | SprayWorks Equipment. (n.d.). Retrieved July 26, 2023, from https://sprayworksequipment.com/products/spray-robots/spraybot/
  3. BREUM, N. O., SCHNEIDER, T., JØRGENSEN, O., VALDBJØRN RASMUSSEN, T., & SKIBSTRUP ERIKSEN, S. (2003). Cellulosic Building Insulation versus Mineral Wool, Fiberglass or Perlite: Installer’s Exposure by Inhalation of Fibers, Dust, Endotoxin and Fire-retardant Additives. The Annals of Occupational Hygiene, 47(8), 653–669. DOI: 10.1093/annhyg/meg090
  4. Chai, H., Wagner, H. J., Guo, Z., Qi, Y., Menges, A., & Yuan, P. F. (2022). Computational design and on-site mobile robotic construction of an adaptive reinforcement beam network for cross-laminated timber slab panels. Automation in Construction, 142, 104536. DOI: 10.1016/j.autcon.2022.104536
  5. Kim, C. H., & Seo, J. (2019). Shallow-Depth Insertion: Peg in Shallow Hole Through Robotic In-Hand Manipulation. IEEE Robotics and Automation Letters, 4(2), 383–390. DOI: 10.1109/LRA.2018.2890449
  6. Koerner-Al-Rawi, J., Park, K. E., Phillips, T. K., Pickoff, M., & Tortorici, N. (2020). Robotic timber assembly. Construction Robotics, 4(3), 175–185. DOI: 10.1007/s41693-020-00045-6
  7. Kupczewska-Dobecka, M., Konieczko, K., & Czerczak, S. (2020). Occupational risk resulting from exposure to mineral wool when installing insulation in buildings. International Journal of Occupational Medicine and Environmental Health, 33(6), 757–769. DOI: 10.13075/ijomeh.1896.01637
  8. Latif, E., Bevan, R., & Woolley, T. (2019). Types of thermal insulation materials. In Thermal Insulation Materials for Building Applications (Vols. 1–0, pp. 5–48). ICE Publishing. DOI: 10.1680/timfba.63518.005
  9. Leung, P. Y., Apolinarska, A., Tanadini, D., Gramazio, F., & Kohler, M. (2021, March 29). Automatic Assembly of Jointed Timber Structure using Distributed Robotic Clamps. DOI: 10.52842/conf.caadria.2021.1.583
  10. Li, X., Han, S., Gül, M., & Al-Hussein, M. (2019). Automated post-3D visualization ergonomic analysis system for rapid workplace design in modular construction. Automation in Construction, 98, 160–174. DOI: 10.1016/j.autcon.2018.11.012
  11. Orlowski, K. (2020). Automated manufacturing for timber-based panelised wall systems. Automation in Construction, 109, 102988. DOI: 10.1016/j.autcon.2019.102988
  12. Spray-R | Helping prefabricators serve their customers better. (n.d.). Retrieved July 25, 2023, from Spray-R | helping prefabricators serve their customers better website: https://www.spray-r.com
  13. Stricot-Tarboton, G. (2019). Robotic Arm Prefab Panels: A Proof of Concept. Retrieved from http://researcharchive.vuw.ac.nz/handle/10063/8414
  14. Zaidi, L., Corrales, J. A., Bouzgarrou, B. C., Mezouar, Y., & Sabourin, L. (2017). Model-based strategy for grasping 3 D deformable objects using a multi-fingered robotic hand. Robotics and Autonomous Systems, 95, 196–206. DOI: 10.1016/j.robot.2017.06.011
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  • Publication Year: 2023
  • Pages: 594-604

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  • Publication Year: 2023

Chapter Information

Chapter Title

A Robotic Method to Insert Batt Insulation into Light-Frame Wood Wall for Panel Prefabrications

Authors

Xiao Han, Cheng-Hsuan Yang, Yuxiang Chen, Alejandra Hernandez Sanchez

DOI

10.36253/979-12-215-0289-3.58

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

62

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