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dc.contributor.authorLarsen, Asger D.
dc.contributor.authorNilsen, Marcus B.
dc.contributor.authorTeizer, Jochen
dc.contributor.authorHong, Kepeng
dc.date.accessioned2024-04-02T15:45:48Z
dc.date.available2024-04-02T15:45:48Z
dc.date.issued2023
dc.identifierONIX_20240402_9791221502893_46
dc.identifier.issn2704-5846
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/89077
dc.description.abstractAlthough 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
dc.languageEnglish
dc.relation.ispartofseriesProceedings e report
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
dc.subject.otherActive learning environment
dc.subject.otherautomation and robotics
dc.subject.otherbuilding information modeling
dc.subject.othercircular economy
dc.subject.otherhuman-machine interaction
dc.subject.otherlearning factory for construction
dc.subject.othermodular construction
dc.subject.othernext-generation tech-savvy engineers
dc.subject.otherrapid prototyping and testing
dc.titleChapter Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy
dc.typechapter
oapen.identifier.doi10.36253/979-12-215-0289-3.55
oapen.relation.isPublishedBybf65d21a-78e5-4ba2-983a-dbfa90962870
oapen.relation.isbn9791221502893
oapen.series.number137
oapen.pages10
oapen.place.publicationFlorence


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