Zhen Xu1, Shuai Guo1,2,*, Tao Song1, Yuwen Li1, Lingdong Zeng1
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1853-1882, 2022, DOI:10.32604/cmes.2022.018004
Abstract The effectiveness of mobile robot aided for architectural construction depends strongly on its accurate localization ability. Localization of mobile robot is increasingly important for the printing of buildings in the construction scene. Although many available studies on the localization have been conducted, only a few studies have addressed the more challenging problem of localization for mobile robot in large-scale ongoing and featureless scenes. To realize the accurate localization of mobile robot in designated stations, we build an artificial landmark map and propose a novel nonlinear optimization algorithm based on graphs to reduce the uncertainty of the whole map. Then, the… More >
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