A Computational Framework For Robotic Quality Assessment and Management In Construction

Jingyang Liu; Yumeng Zhuang; Joshua Bard

doi:10.22260/ICRA2022/0011

A Computational Framework For Robotic Quality Assessment and Management In Construction

Jingyang Liu, Yumeng Zhuang, Joshua Bard

Department of Architecture

Carnegie Mellon University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022)
Editors	Jingdao (Mississippi State University) Chen, Yong K. (Georgia Institute of Technology) Cho, Inbae (North Dakota State University) Jeong, Chen Feng (New York University) Feng, Liangjun (Baidu Research) Zhang
Place of Publication	Philadelphia, PA, USA
Publisher	International Association for Automation and Robotics in Construction (IAARC)
Pages	32-35
Number of pages	4
ISBN (Print)	-
DOIs	https://doi.org/10.22260/ICRA2022/0011
Publication status	Published - 1 May 2022

Access to Document

10.22260/ICRA2022/0011

Cite this

Liu, J., Zhuang, Y., & Bard, J. (2022). A Computational Framework For Robotic Quality Assessment and Management In Construction. In J. Chen, Y. K. Cho, I. Jeong, C. F. Feng, & L. Zhang (Eds.), Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022) (pp. 32-35). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ICRA2022/0011

Liu, Jingyang ; Zhuang, Yumeng ; Bard, Joshua. / A Computational Framework For Robotic Quality Assessment and Management In Construction. Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022). editor / Jingdao (Mississippi State University) Chen ; Yong K. (Georgia Institute of Technology) Cho ; Inbae (North Dakota State University) Jeong ; Chen Feng (New York University) Feng ; Liangjun (Baidu Research) Zhang. Philadelphia, PA, USA : International Association for Automation and Robotics in Construction (IAARC), 2022. pp. 32-35

@inproceedings{c4356c7ab5a84c61968a87de1e169cb4,

title = "A Computational Framework For Robotic Quality Assessment and Management In Construction",

author = "Jingyang Liu and Yumeng Zhuang and Joshua Bard",

year = "2022",

month = may,

day = "1",

doi = "10.22260/ICRA2022/0011",

language = "English",

isbn = "-",

pages = "32--35",

editor = "Chen, {Jingdao (Mississippi State University)} and Cho, {Yong K. (Georgia Institute of Technology)} and Jeong, {Inbae (North Dakota State University)} and Feng, {Chen Feng (New York University)} and Zhang, {Liangjun (Baidu Research)}",

booktitle = "Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022)",

publisher = "International Association for Automation and Robotics in Construction (IAARC)",

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Liu, J, Zhuang, Y & Bard, J 2022, A Computational Framework For Robotic Quality Assessment and Management In Construction. in J Chen, YK Cho, I Jeong, CF Feng & L Zhang (eds), Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022). International Association for Automation and Robotics in Construction (IAARC), Philadelphia, PA, USA, pp. 32-35. https://doi.org/10.22260/ICRA2022/0011

A Computational Framework For Robotic Quality Assessment and Management In Construction. / Liu, Jingyang; Zhuang, Yumeng; Bard, Joshua.
Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022). ed. / Jingdao (Mississippi State University) Chen; Yong K. (Georgia Institute of Technology) Cho; Inbae (North Dakota State University) Jeong; Chen Feng (New York University) Feng; Liangjun (Baidu Research) Zhang. Philadelphia, PA, USA: International Association for Automation and Robotics in Construction (IAARC), 2022. p. 32-35.

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - A Computational Framework For Robotic Quality Assessment and Management In Construction

AU - Liu, Jingyang

AU - Zhuang, Yumeng

AU - Bard, Joshua

PY - 2022/5/1

Y1 - 2022/5/1

U2 - 10.22260/ICRA2022/0011

DO - 10.22260/ICRA2022/0011

M3 - Conference Proceeding

SN - -

SP - 32

EP - 35

BT - Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022)

A2 - Chen, Jingdao (Mississippi State University)

A2 - Cho, Yong K. (Georgia Institute of Technology)

A2 - Jeong, Inbae (North Dakota State University)

A2 - Feng, Chen Feng (New York University)

A2 - Zhang, Liangjun (Baidu Research)

PB - International Association for Automation and Robotics in Construction (IAARC)

CY - Philadelphia, PA, USA

ER -

Liu J, Zhuang Y, Bard J. A Computational Framework For Robotic Quality Assessment and Management In Construction. In Chen J, Cho YK, Jeong I, Feng CF, Zhang L, editors, Proceedings of the 1st Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2022). Philadelphia, PA, USA: International Association for Automation and Robotics in Construction (IAARC). 2022. p. 32-35 doi: 10.22260/ICRA2022/0011