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Technology status tracing and trends in construction robotics: a patent analysis


Citation

Liu, Yuming and Alias, Aidi Hizami bin and Haron, Nuzul Azam and Bakar, Nabilah Abu and Wang, Hao (2024) Technology status tracing and trends in construction robotics: a patent analysis. World Patent Information, 76. art. no. 102259. pp. 1-19. ISSN 0172-2190; ESSN: 1874-690X

Abstract

The advent of construction robotics (CR) has been rendered technically and economically viable by the proliferation of microprocessors and a decline in costs. A captivating epoch in CR has emerged, and it defies conventional interpretation. We ask how to extract the frontier research topics from patents, which countries are driving innovation in CR, and what policies are contributing to the current situation. This paper uses patent analysis and text mining to study 1831 C R-related patents and finds four clusters from the Derwent Innovations (DI) database. The patent remaining life impact (PRLI) index is calculated. The results show an increase in the number of CR-related patents annually. China leads in the number of patent publications, while the US and other patent organizations have played critical roles in the field. An improved technology evolutionary path tracing visualization identifies several hotspots. Additionally, the policy strategy matrix (PSM) analyzes the industrial stimulation policies of the two countries with the most considerable proportion, providing an explanation for predicting future technology research and development (R&D) and the direction of optimization.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1016/j.wpi.2023.102259
Publisher: Elsevier
Keywords: Construction robotics; Patent analysis; Text mining; Technology prediction; Evolutionary path tracing
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 15 May 2024 06:08
Last Modified: 15 May 2024 06:08
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.wpi.2023.102259
URI: http://psasir.upm.edu.my/id/eprint/105638
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