@inproceedings{de356c67b748434b89be2e3b47dfec7e,
title = "Validation of a Construction Robotics Schema for Site Operation Planning",
abstract = "This paper presents a construction robot schema (CRS) for construction planners to facilitate decision-making and project planning in operating robotics. CRS is a database schema structure that was developed in our previous study, which can facilitate collecting and exchanging data of various construction robots based on the data requirements of the construction domain. We validated the applicability of the schema by the simulation of robotic construction operations. In addition, we conducted interviews with experts from the construction industry to validate the information in CRS. As a result, the schema was validated with minor revisions to some parameters. The characteristics of CRS compared to other types of robot schema are that its development and application are based on the perspective of the construction domain and are designed to cover different construction robots broadly. The conclusions highlight the contributions of the data schema use and applicability for the construction industry.",
author = "Fangxiao Li and Ziyi Wang and Yuqing Hu and Leicht, {Robert M.}",
note = "Publisher Copyright: {\textcopyright} 2024 ASCE.; Construction Research Congress 2024, CRC 2024 ; Conference date: 20-03-2024 Through 23-03-2024",
year = "2024",
doi = "10.1061/9780784485262.066",
language = "English (US)",
series = "Construction Research Congress 2024, CRC 2024",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "649--658",
editor = "Shane, {Jennifer S.} and Madson, {Katherine M.} and Yunjeong Mo and Cristina Poleacovschi and Sturgill, {Roy E.}",
booktitle = "Advanced Technologies, Automation, and Computer Applications in Construction",
address = "United States",
}