2023
DOI: 10.22260/isarc2023/0006
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Reducing Uncertainty in Multi-Robot Construction through Perception Modelling and Adaptive Fabrication

Abstract: One of the significant challenges for robotic construction with dimensional lumber and other construction materials is the accumulation of material imperfections and manufacturing inaccuracies, resulting in significant deviations between the as-built structure and its digital twin. This paper presents and evaluates methods for addressing these challenges to enable a multi-robot construction process that adaptively updates future fabrication steps to accommodate for perceived inaccuracies, improving build quali… Show more

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“…The method used object segmentation, aligning with BIM, and employing image processing to identify component installation. [48] Focused on a significant challenge in robotic construction related to dimensional lumber and construction materials, specifically addressing the impact of material imperfections and manufacturing inaccuracies on the built structure compared to its digital counterpart. [49] Established a framework for disassembly models by identifying essential parameters and utilizing BIM as the primary platform and graphic interface.…”
Section: Analysis Of Papersmentioning
confidence: 99%
“…The method used object segmentation, aligning with BIM, and employing image processing to identify component installation. [48] Focused on a significant challenge in robotic construction related to dimensional lumber and construction materials, specifically addressing the impact of material imperfections and manufacturing inaccuracies on the built structure compared to its digital counterpart. [49] Established a framework for disassembly models by identifying essential parameters and utilizing BIM as the primary platform and graphic interface.…”
Section: Analysis Of Papersmentioning
confidence: 99%