- CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
- A cura di Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi
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
- © 2023 Author(s) |
- CC BY-NC 4.0
- DOI: 10.36253/979-12-215-0289-3.55
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,
- ,
Technical University of Denmark, Denmark - ORCID: 0000-0001-8071-895X
Technical University of Denmark, Denmark - ORCID: 0009-0005-0018-0579
Technical University of Denmark, Denmark
Technical University of Denmark, Denmark
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Informazioni sul capitolo
Titolo del capitolo
Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy
Autori
Jochen Teizer, Kepeng Hong, Asger D. Larsen, Marcus B. Nilsen
DOI
10.36253/979-12-215-0289-3.55
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
Sottotitolo del libro
Managing the Digital Transformation of Construction Industry
Curatori
Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
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
Collana
Proceedings e report
ISSN della collana
2704-601X
e-ISSN della collana
2704-5846