Chapter
Mar 18, 2024

Automated Constructability Assessment for Robotics in Construction: Case Study of CANVAS

Publication: Construction Research Congress 2024

ABSTRACT

Advances in robotics represent a potential shift in the construction industry. Construction planning is planned based on craft work; it is necessary to emphasize external factors such as construction robotics. Improving constructability can enhance design-phase construction opportunities, thereby expanding the potential scope of robot operations. However, robotics are often neglected concerning constructability. Previous studies on constructability concentrated on human-based construction methods; hence, gaps remain in assessing constructability for robotics. To minimize the barriers in robotic construction, this paper presents a method for using a rule-based framework for robotic constructability assessment checks with the help of BIM. Focusing on CANVAS—a drywall finishing robot—this paper applies a BIM-based object-oriented model integrating with ROS to utilize constructability reasoning about robotic operations. A model of rule-checking for robotics in the case study is demonstrated and tested. The availability of design information in the model containing robotics is discussed, showing the need for assessing robotics-related constructability information to support an automated review of robotic constructability assessment. This paper applies a case study to validate use of the framework for robotic constructability assessment in the design phase, leading to an automated constructability assessment of construction robotics.

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REFERENCES

Automaticaddison. (2021). “How to Build a Simulated Mobile Manipulator Using ROS – Automatic Addison.” <https://automaticaddison.com/how-to-build-a-simulated-mobile-manipulator-using-ros/> (Apr. 26, 2023).
Brosque, C., and M. Fischer. (2022a). “A robot evaluation framework comparing on-site robots with traditional construction methods.” Constr. Robot., 6 (2): 187–206. Springer.
Brosque, C., and M. Fischer. (2022b). “Safety, quality, schedule, and cost impacts of ten construction robots.” Constr. Robot., 6 (2): 163–186. Springer.
Byers, G., and S. RazaviAlavi. (2022). “Layout modelling of the built environment for autonomous mobile robots using Building Information Modelling (BIM) and simulation.” Modul. Offsite Constr. MOC Summit Proc., 201–208. University of Alberta.
Construction Industry Institute. (1993). “Constructability Implementation (Best Practice).” <https://www.construction-institute.org/resources/knowledgebase/best-practices/constructability/topics/rt-034.>(Mar. 23, 2023).
Institute, U. of T. at A. C. I. (1986). Constructability: A Primer. Construction Industry Institute.
Jiang, L. (2016). A constructability review ontology to support automated rule checking leveraging building information models. Doctoral dissertation, the Pennsylvania State University.
Kang, S., and E. Miranda. (2006). “Planning and visualization for automated robotic crane erection processes in construction.” Autom. Constr., 15 (4): 398–414. Elsevier.
Kayhani, N., H. Taghaddos, and S. BehzadiPour. (2018). “Construction equipment collision-free path planning using robotic approach.” ISARC Proc. Int. Symp. Autom. Robot. Constr., 1–6. IAARC Publications.
Love, P. E., J. Zhou, J. Matthews, and H. Lou. (2016). “Object oriented modeling: Retrospective systems information model for constructability assessment.” Autom. Constr., 71: 359–371. Elsevier.
Nima, M. A., M. R. Abdul‐Kadir, and M. S. Jaafar. (2001). “Evaluation of the role of the contractor’s personnel in enhancing the project constructability.” Struct. Surv., 19 (4): 193–200. MCB UP Ltd.
O’Connor, J. T., M. A. Larimore, and R. L. Tucker. (1986). “Collecting constructability improvement ideas.” J. Constr. Eng. Manag., 112 (4): 463–475. American Society of Civil Engineers.
Qian, W., Z. Xia, J. Xiong, Y. Gan, Y. Guo, S. Weng, H. Deng, Y. Hu, and J. Zhang. (2014). “Manipulation task simulation using ROS and Gazebo.” 2014 IEEE Int. Conf. Robot. Biomim. ROBIO 2014, 2594–2598. IEEE.
“rviz - ROS Wiki.” (2023). <http://wiki.ros.org/rviz.>(May. 15, 2023).
Safa, M., A. Shahi, M. Nahangi, C. Haas, and H. Noori. (2015). “Automating measurement process to improve quality management for piping fabrication.” Structures, 3: 71–80. https://doi.org/10.1016/j.istruc.2015.03.003.
Wang, Z., M. A. H. Khan, Y. Hu, and R. M. Leicht. (2023). “Developing a Work package approach for Construction Robotics.” Proc. 2023 Annu. Conf. Can. Soc. Civ. Eng. Canadian Society for Civil Engineering.
Wang, Z., Y. Hu, and R. M. Leicht. (2023). “Constructability Assessment for Robotics in Construction.” Comput. Civ. Eng. 2023. Corvallis, Oregon: American Society of Civil Engineers.
Warszawski, A., and D. A. Sangrey. (1985). “Robotics in building construction.” J. Constr. Eng. Manag., 111 (3): 260–280. American Society of Civil Engineers.
Yaghoubi, S. (2013). Robotics and Automations in Construction: Advanced Construction and FutureTechnology. Citeseer.
Yahya, M. Y. B., Y. L. Hui, A. B. M. Yassin, R. Omar, R. O. Anak Robin, and N. Kasim. (2019). “The challenges of the implementation of construction robotics technologies in the construction.” MATEC Web Conf., 05012. EDP Sciences.
Yang, H.-H., M.-H. Lee, F.-C. Siao, and Y.-C. Lin. (2013). “Use of BIM for construtability analysis in construction.” Proc. Thirteen. East Asia-Pac. Conf. Struct. Eng. Constr. EASEC-13, A-3-1. The Thirteenth East Asia-Pacific Conference on Structural Engineering and ….
Zhang, C., T. Zayed, W. Hijazi, and S. Alkass. (2016). “Quantitative assessment of building constructability using BIM and 4D simulation.” Open J. Civ. Eng., 6 (03): 442. Scientific Research Publishing.

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Go to Construction Research Congress 2024
Construction Research Congress 2024
Pages: 687 - 696

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Published online: Mar 18, 2024

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1Dept. of Architectural Engineering, Pennsylvania State Univ., State College, PA. ORCID: https://orcid.org/0000-0002-7642-1368. Email: [email protected]
Yuqing Hu, Ph.D. [email protected]
2Assistant Professor, Dept. of Architectural Engineering, Pennsylvania State Univ., State College, PA. Email: [email protected]
Robert Leicht, Ph.D. [email protected]
3Associate Professor, Dept. of Architectural Engineering, Pennsylvania State Univ., State College, PA. Email: [email protected]

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