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A Schema for Robotics Operations in Construction

Fangxiao Li, Yuqing Hu, Robert Leicht

Year
2024
Citations
4

Abstract

This study gathered data into a construction robot schema (CRS) with an initial data structure that can be used to collect and exchange various construction robots’ information based on the data requirements of construction planners for robotics operations. To develop the CRS, the study conducted a systematic literature review using the Web of Science database to filter and identify relevant papers which were published from 2018 to 2022. Based on 279 eligible papers, the study identified significant information which involved data requirements of the construction domain on robotics using Nvivo software. To structure the information, the study summarized the information into parameters then categorized, defined, matched data types, and exemplified for these parameters. All the parameters were grouped into four categories, including ontological properties, operational requirements, activity, and safety. As a result, CRS supports data structure, including four categories and 35 parameters with corresponding definitions, data types, examples, and references.

Keywords

RoboticsArtificial intelligenceComputer scienceSchema (genetic algorithms)RobotInformation retrieval

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