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oapen-20.500.12657-890772024-04-03T02:23:14Z 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 Larsen, Asger D. Nilsen, Marcus B. Teizer, Jochen Hong, Kepeng 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 thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization 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 2024-04-02T15:45:48Z 2024-04-02T15:45:48Z 2023 chapter ONIX_20240402_9791221502893_46 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89077 eng Proceedings e report application/pdf n/a 9791221502893_55.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_55 Firenze University Press 10.36253/979-12-215-0289-3.55 10.36253/979-12-215-0289-3.55 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 10 Florence open access
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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
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