Contained in:
Book Chapter

Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy

  • Jochen Teizer
  • Kepeng Hong
  • Asger D. Larsen
  • Marcus B. Nilsen

Although robotic solutions have been making significant contributions to fabrication environments, implementations in the construction are rare. It seems a disconnect between the industries exists where in construction the high number of non-uniform work tasks, the wide assortment of types and shapes of building materials and elements, and the presence of human workers creating safety hazards make the deployment of rather rigid robotic manipulators on construction sites much more complex than in production-like work environments. To advance construction with robotic solutions, it could prove beneficial to make each sector aware of the barriers that exist, and likewise, introduce a physical space for joint experimentation with state-of-the-art technologies from both fields. One way of alleviating this issue is to connect the sectors by providing hands-on education and research experiences, defined hereby as Learning Factory for Construction (LFC). This paper presents a scaled-down version of a LFC that has a robotic manipulator perform fully-automated and precise assembly, deconstruction, and reuse tasks of modular construction elements, whereas the elements are tracked with fiducial markers according to a known building information model and schedule. Furthermore, the FLC continuously gathers and analyzes data for performance, measures successful completions, assembly times, and potential quality defects. This project involved Masters level students with domain expertise from architectural, civil, and mechanical engineering in a cross-disciplinary and collaborative learning exercise of building a working prototype within a semester-long study project. Beyond the core tasks of the digital design and robotic application, the group developed theoretical concepts and limitations for more holistic views on circular economy, lean production, on- and off-site logistics, modularization, and construction safety, just as expected from a LFC. It is anticipated that the next generation of professionals working in the built environment and intending to solve some of the larger and more complex societal problems will require both the technical and communication skills that a LFC can stimulate. Therefore, LFC is expected to become an important component of active learning environments

  • Keywords:
  • Active learning environment,
  • automation and robotics,
  • building information modeling,
  • circular economy,
  • human-machine interaction,
  • learning factory for construction,
  • modular construction,
  • next-generation tech-savvy engineers,
  • rapid prototyping and testing,
  • ,
+ Show More

Jochen Teizer

Technical University of Denmark, Denmark - ORCID: 0000-0001-8071-895X

Kepeng Hong

Technical University of Denmark, Denmark - ORCID: 0009-0005-0018-0579

Asger D. Larsen

Technical University of Denmark, Denmark

Marcus B. Nilsen

Technical University of Denmark, Denmark

  1. Abele, E. et al. (2017). Learning factories for future oriented research and education in manufacturing. CIRP Annals - Manufacturing Technology, 66(2), 803–826, DOI: 10.1016/j.cirp.2017.05.005
  2. European Commission (2021). Digitalisation in the construction sector – Analytical Report. European Construction Sector Observatory, https://ec.europa.eu/docsroom/documents/45547 (08/12/2023).
  3. European Commission (2022). New rules to ensure the safety of machinery and robot. https://ec.europa.eu/commission/presscorner/api/files/document/print/en/ip_22_7741/IP_22_7741_EN.pdf (08/11/2023).
  4. Gharbia, M., Chang-Richards, A. Y., & Zhong, R. (2019). Robotic technologies in concrete building construction: A systematic review. 36th International Symposium on Automation and Robotics in Construction (ISARC), 10-19, DOI: 10.22260/ISARC2019/0002
  5. Goodrum, P.M., & Haas, C.T. (2012). Variables Affecting Innovations in the U.S. Construction Industry. Construction Research Congress, DOI: 10.1061/40475(278)57.
  6. Hasan, H., Reddy, A., & Tsayjacobs, A. (2019). Robotic fabrication of nail laminated timber. 36th International Symposium on Automation and Robotics in Construction (ISARC), 1210-1216 , DOI: 10.22260/ISARC2019/0162
  7. Iturralde, K. et al. (2020). A cable driven parallel robot with a modular end effector for the installation of curtain wall modules. 37th International Symposium on Automation and Robotics in Construction (ISARC), DOI: 10.22260/ISARC2020/0204
  8. Karl, C.K., Spengler, A.J., Bruckmann, T., & Ibbs, C.W. (2018). Influence of automated building construction systems on vocational education and training. Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC), 236-243, DOI: 10.22260/ISARC2018/0034
  9. Kemény, Z. et al. (2018). Human–robot collaboration in the MTA SZTAKI learning factory facility at Győr, Procedia manufacturing, 23, 105–110, DOI: 10.1016/j.promfg.2018.04.001
  10. Leng, Y., Shi, X., & Hioatsu, F. (2020). Application of robots to the construction of complex structures using standardized timbers. 37th International Symposium on Automation and Robotics in Construction (ISARC), 1562-1567, DOI: 10.22260/ISARC2020/0217
  11. Matt, D.T., Rauch, E., & Dallasega, P. (2014). Mini-factory – A learning factory concept for students and small and medium sized enterprises.  Procedia CIRP, 17, 178–183, DOI: 10.1016/j.procir.2014.01.057
  12. Nahangi, M., Heins, A., McCabe, B., & Schoellig, A. (2018). Automated localization of UAVs in GPS-denied indoor construction environments using fiducial markers. 35th International Symposium on Automation and Robotics in Construction (ISARC), DOI: 10.22260/ISARC2018/0012
  13. Nardello, M., Madsen, O., & Møller, C. (2017). The smart production laboratory: A learning factory for industry 4.0 concepts. CEUR Workshop Proceedings, 1898. http://ceur-ws.org/Vol-1898/paper13.pdf
  14. Oraee, M., Hosseini, M.R., Papadonikolaki, E., Palliyaguru, R., & Arashpour, M. (2017). Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review. International Journal of Project Management, 35(7), 1288-1301, DOI: 10.1016/j.ijproman.2017.07.001
  15. Ravi, K.S.D., Ng, M.S., Ibanez, M., & Hall, D.M. (2021). Real-time Digital Twin of Robotic construction processes in Mixed Reality. 38th International Symposium on Automation and Robotics in Construction (ISARC), 451-458, DOI: 10.22260/ISARC2021/0062
  16. Rogeau, N., Tiberghien, V., Latteur, P., & Weinand, Y. (2020). Robotic insertion of timber joints using visual detection of fiducial markers. 37th International Symposium on Automation and Robotics in Construction (ISARC) DOI: 10.22260/ISARC2020/0068
  17. Sacks, R., Brilakis, I., Pikas, E., Xie, H.S., & Girolami, M. (2020). Construction with digital twin information systems. Data-Centric Engineering, 1(6). DOI: 10.1017/dce.2020.16
  18. Sawhney, A., Riley, M. & Irizarry, J. (eds.) (2020). Construction 4.0: An innovation platform for the built environment. London, England: Routledge.
  19. Slaughter, E.S. (1998). Models of construction innovation, American Society of Civil Engineers, 124(3), 226-231, http://worldcat.org/oclc/8675438
  20. Slepicka, M., Vilgertshofer, S., & Borrmann, A. (2021). Fabrication Information Modeling: Closing the gap between Building Information Modeling and Digital Fabrication. 38th International Symposium on Automation and Robotics in Construction, Dubai, United Arab Emirates, DOI: 10.22260/ISARC2021/0004
  21. Sun, Z. et al. (2022). A robotic arm based design method for modular building in cold region. Sustainability, 14(3), 1452, DOI: 10.3390/su14031452
  22. Teizer, J., Blickle, A., King, T., Leitzbach, O., & Guenther, D. (2016). Large Scale 3D Printing of Complex Geometric Shapes in Construction. 33rd International Symposium on Automation and Robotics in Construction, Auburn, Alabama, USA, DOI: 10.22260/ISARC2016/0114
  23. Teizer, J., & Chronopoulos, C. (2022). Learning Factory for Construction to provide future engineering skills beyond technical education and training. Construction Research Congress, Arlington, Virginia, USA, 224-233, DOI: 10.1061/9780784483985.023
  24. Teizer, J., Embers, S., Golovina, O., & Wolf, M. (2020). A serious gaming approach to integrate BIM, IoT and Lean Construction in Construction Education. Construction Research Congress, Tempe, Arizona, USA, March 8-10, 2020.
  25. Usmanov, V., Bruzl, M., Svoboda, P., & Sulc, R. (2017). Modelling of industrial robotic brick system. Proceedings of the 34th International Symposium on Automation and Robotics in Construction (ISARC), 1013-1020, DOI: 10.22260/ISARC2017/0140
  26. Wang, L., Fukuda, H., & Shi, X. (2020a). A preliminary comparison between manual and robotic construction of wooden structure architecture. Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC), 1568-1575, DOI: 10.22260/ISARC2020/0218
  27. Wang, X., Liang, C.-I., Menassa, C., & Kamat, V. (2020b). Real-time process-level digital twin for collaborative human-robot construction work. 37th International Symposium on Automation and Robotics in Construction (ISARC), 1528-1535, DOI: 10.22260/ISARC2020/0212
  28. Wolf., M., Teizer, J., Wolf, B., Bükrü, S., & Solberg, A. (2022). Investigating hazard recognition in augmented virtuality for personalized feedback in construction safety education and training. Advanced Engineering Informatics, 51, 101469, DOI: 10.1016/j.aei.2021.101469
  29. Wu, M.-H., & Lin, J.-R. (2020). An agent-based approach for modeling human-robot collaboration in bricklaying. 37th International Symposium on Automation and Robotics in Construction (ISARC), 797-804, DOI: 10.22260/ISARC2020/0110
  30. Yamamoto, H. (2020). A View of Construction Science and Robot Technology Implementation. 37th International Symposium on Automation and Robotics in Construction, Front Matter, DOI: 10.22260/ISARC2020/0147
  31. Yang, C.-H., Wu, T.-H., Xiao, B., &Kang, S.-C. (2019). Design of a robotic software package for modular home builder. 36th International Symposium on Automation and Robotics in Construction (ISARC), DOI: 10.22260/ISARC2019/0163
PDF
  • Publication Year: 2023
  • Pages: 564-573

XML
  • Publication Year: 2023

Chapter Information

Chapter Title

Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy

Authors

Jochen Teizer, Kepeng Hong, Asger D. Larsen, Marcus B. Nilsen

DOI

10.36253/979-12-215-0289-3.55

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

73

Fulltext
downloads

57

Views

Export Citation

1,321

Open Access Books

in the Catalogue

2,008

Book Chapters

3,463,393

Fulltext
downloads

4,203

Authors

from 876 Research Institutions

of 64 Nations

64

scientific boards

from 343 Research Institutions

of 43 Nations

1,216

Referees

from 363 Research Institutions

of 38 Nations