How Can Robot Replacement Be Achieved? – Technology Development Direction for Automatic Construction Robot

Xinyao Ma, Chao Mao (), Xiao Li () and Chengke Wu
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Xinyao Ma: Chongqing University
Chao Mao: Chongqing University
Xiao Li: The University of Hong Kong
Chengke Wu: Chinese Academy of Sciences

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 173-188 from Springer

Abstract: Abstract Automatic Construction Robot (ACR) replacement is increasingly important in addressing labor shortages, productivity inefficiencies, and other problems in construction activities. However, the development of ACR replacement cannot be separated from technology forecasting. Given patent data as an essential indicator for predicting technology development, this study aims to develop a technology prediction model to analyze the development of ACR replacement. To this end, this study first collected patent data on the ACR. Secondly, this study proposed a technology mining method and patent similarity model based on the subject-action-object (SAO) structure to build the patent similarity matrix. Finally, this similarity matrix was used to draw the patent map for forecasting the development direction of ACR replacement. This study identified the eight development opportunities of ACR replacement and related challenges.

Keywords: Automatic Construction Robot; Robot replacement; Technology development forecast (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-99-3626-7_14

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