Validation of a Construction Robotics Schema for Site Operation Planning
Publication: Construction Research Congress 2024
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.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Apriaskar, E., and M. R. Fauzi. 2020. “Robotic Technology towards Industry 4.0: Automatic Object Sorting Robot Arm Using Kinect Sensor.” In Journal of Physics: Conference Series, 1444:012030. IOP Publishing.
Batini, C., M. Lenzerini, and S. B. Navathe. 1986. “A Comparative Analysis of Methodologies for Database Schema Integration.” ACM Computing Surveys (CSUR) 18 (4): 323–64.
Bonifati, A., P. Furniss, A. Green, R. Harmer, E. Oshurko, and H. Voigt. 2019. “Schema Validation and Evolution for Graph Databases.” In Conceptual Modeling, edited by Alberto H. F. Laender, Barbara Pernici, Ee-Peng Lim, and José Palazzo M. de Oliveira, 448–56. Lecture Notes in Computer Science. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-33223-5_37.
Colucci, G., L. Tagliavini, L. Carbonari, P. Cavallone, A. Botta, and G. Quaglia. 2021. “Paquitop.Arm, a Mobile Manipulator for Assessing Emerging Challenges in the COVID-19 Pandemic Scenario.” Robotics 10 (3): 102. https://doi.org/10.3390/robotics10030102.
Coronel, C., and S. Morris. 2016. Database Systems: Design, Implementation, & Management. Cengage Learning.
Di Zio, M., N. Fursova, T. Gelsema, S. Gießing, U. Guarnera, J. Petrauskienė, L. Quensel-von Kalben, M. Scanu, K. O. ten Bosch, and M. van der Loo. 2016. Methodology for Data Validation 1.0. Essnet Validat Foundation.
Farré, C., G. Rull, E. Teniente, and T. Urpí. 2008. “SVTe: A Tool to Validate Database Schemas Giving Explanations.” In Proceedings of the 1st International Workshop on Testing Database Systems, 1–6. DBTest ’08. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/1385269.1385281.
Feng, C., Y. Xiao, A. Willette, W. McGee, and V. R. Kamat. 2015. “Vision Guided Autonomous Robotic Assembly and As-Built Scanning on Unstructured Construction Sites.” Automation in Construction 59 (November): 128–38. https://doi.org/10.1016/j.autcon.2015.06.002.
Gawel, A., H. Blum, J. Pankert, K. Krämer, L. Bartolomei, S. Ercan, F. Farshidian, M. Chli, F. Gramazio, and R. Siegwart. 2019. “A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction.” In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2300–2307. IEEE.
Hu, W., and Y. Qu. 2007. “Discovering Simple Mappings Between Relational Database Schemas and Ontologies.” In The Semantic Web, edited by Karl Aberer, Key-Sun Choi, Natasha Noy, Dean Allemang, Kyung-Il Lee, Lyndon Nixon, Jennifer Golbeck, et al., 225–38. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-76298-0_17.
Huber, D., B. Akinci, A. Adan Oliver, E. Anil, B. E. Okorn, and X. Xiong. 2011. “Methods for Automatically Modeling and Representing As-Built Building Information Models.” In Proceedings of the NSF CMMI Research Innovation Conference. Vol. 856558. NSF.
Iqbal, J., M. Ul Islam, and H. Khan. 2012. “Modeling and Analysis of a 6 DOF Robotic Arm Manipulator.” Canadian Journal on Electrical and Electronics Engineering 3 (January): 300–306.
Kim, P., J. Park, Y. K. Cho, and J. Kang. 2019. “UAV-Assisted Autonomous Mobile Robot Navigation for as-Is 3D Data Collection and Registration in Cluttered Environments.” Automation in Construction 106: 102918.
Komatsu, T., Y. Konno, S. Kiribayashi, K. Nagatani, T. Suzuki, K. Ohno, T. Suzuki, N. Miyamoto, Y. Shibata, and K. Asano. 2021. “Autonomous Driving of Six-Wheeled Dump Truck with a Retrofitted Robot.” In Field and Service Robotics: Results of the 12th International Conference, 59–72. Springer.
Landi, C. T., F. Ferraguti, S. Costi, M. Bonfè, and C. Secchi. 2019. “Safety Barrier Functions for Human-Robot Interaction with Industrial Manipulators.” In 2019 18th European Control Conference (ECC), 2565–70. https://doi.org/10.23919/ECC.2019.8796235.
Melenbrink, N., J. Werfel, and A. Menges. 2020. “On-Site Autonomous Construction Robots: Towards Unsupervised Building.” Automation in Construction 119: 103312.
Zhang, X., M. Li, J. H. Lim, Y. Weng, Y. W. D. Tay, H. Pham, and Q.-C. Pham. 2018. “Large-Scale 3D Printing by a Team of Mobile Robots.” Automation in Construction 95 (November): 98–106. https://doi.org/10.1016/j.autcon.2018.08.004.
Information & Authors
Information
Published In
History
Published online: Mar 18, 2024
ASCE Technical Topics:
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.