A Schema for Robotics Operations in Construction
Publication: Computing in Civil Engineering 2023
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.
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REFERENCES
Ajoudani, A., A. M. Zanchettin, S. Ivaldi, A. Albu-Schäffer, K. Kosuge, and O. Khatib. 2018. “Progress and Prospects of the Human–Robot Collaboration.” Autonomous Robots 42: 957–75.
Bock, T., and T. Linner. 2016. Construction Robots: Volume 3: Elementary Technologies and Single-Task Construction Robots. Cambridge University Press.
Davila Delgado, J. M., L. Oyedele, A. Ajayi, L. Akanbi, O. Akinade, M. Bilal, and H. Owolabi. 2019. “Robotics and Automated Systems in Construction: Understanding Industry-Specific Challenges for Adoption.” Journal of Building Engineering 26 (November): 100868. https://doi.org/10.1016/j.jobe.2019.100868.
Ding, L., W. Jiang, Y. Zhou, C. Zhou, and S. Liu. 2020. “BIM-Based Task-Level Planning for Robotic Brick Assembly through Image-Based 3D Modeling.” Advanced Engineering Informatics 43 (January): 100993. https://doi.org/10.1016/j.aei.2019.100993.
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.
Goh, M., and Y. M. Goh. 2019. “Lean Production Theory-Based Simulation of Modular Construction Processes.” Automation in Construction 101 (May): 227–44. https://doi.org/10.1016/j.autcon.2018.12.017.
Han, C. S., S. Y. Lee, K. Y. Lee, and B. S. Park. 2006. “A Multidegree-of-Freedom Manipulator for Curtain-Wall Installation.” Journal of Field Robotics 23 (5): 347–60. https://doi.org/10.1002/rob.20122.
Ibrahim, F. S. B., M. B. Esa, and R. A. Rahman. 2021. “The Adoption of IOT in the Malaysian Construction Industry: Towards Construction 4.0.” International Journal of Sustainable Construction Engineering and Technology 12 (1): 56–67.
Kim, S., M. Peavy, P.-C. Huang, and K. Kim. 2021. “Development of BIM-Integrated Construction Robot Task Planning and Simulation System.” Automation in Construction 127: 103720.
Li, F. 2023. A Schema for Planning Robotics Operations in Construction. Pennsylvania State University, State College, PA 16801.
Linnenluecke, M. K., M. Marrone, and A. K. Singh. 2019. “Conducting Systematic Literature Reviews and Bibliometric Analyses.” Australian Journal of Management, October. https://doi.org/10.1177/0312896219877678.
Nguyen, T. A., P. T. Nguyen, and S. T. Do. 2020. “Application of BIM and 3D Laser Scanning for Quantity Management in Construction Projects.” Advances in Civil Engineering 2020 (December): e8839923. https://doi.org/10.1155/2020/8839923.
Oliff, H., Y. Liu, M. Kumar, M. Williams, and M. Ryan. 2020. “Reinforcement Learning for Facilitating Human-Robot-Interaction in Manufacturing.” Journal of Manufacturing Systems 56: 326–40.
Uschold, M. 2015. “Ontology and Database Schema: What’s the Difference?” Applied Ontology 10 (3–4): 243–58.
Vanlande, R., C. Nicolle, and C. Cruz. 2008. “IFC and Building Lifecycle Management.” Automation in Construction 18 (1): 70–78.
Varlamov, O. 2021. “‘Brains’ for Robots: Application of the Mivar Expert Systems for Implementation of Autonomous Intelligent Robots.” Big Data Research 25 (July): 100241. https://doi.org/10.1016/j.bdr.2021.100241.
Xu, X., and B. Garcia de Soto. 2020. “On-Site Autonomous Construction Robots: A Review of Research Areas, Technologies, and Suggestions for Advancement.” In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, 37:385–92. IAARC Publications.
You, Z., and C. Wu. 2019. “A Framework for Data-Driven Informatization of the Construction Company.” Advanced Engineering Informatics 39 (January): 269–77. https://doi.org/10.1016/j.aei.2019.02.002.
Zhang, F., A. P. C. Chan, A. Darko, Z. Chen, and D. Li. 2022. “Integrated Applications of Building Information Modeling and Artificial Intelligence Techniques in the AEC/FM Industry.” Automation in Construction 139: 104289.
Zhou, T., Q. Zhu, Y. Shi, and J. Du. 2022. “Construction Robot Teleoperation Safeguard Based on Real-Time Human Hand Motion Prediction.” Journal of Construction Engineering and Management 148 (7): 04022040.
Information & Authors
Information
Published In
Computing in Civil Engineering 2023
Pages: 739 - 746
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Automation and robotics
- Bibliographies
- Computer networks
- Computer programming
- Computer software
- Computing in civil engineering
- Construction engineering
- Construction management
- Data collection
- Engineering fundamentals
- Information management
- Internet
- Mathematics
- Methodology (by type)
- Parameters (statistics)
- Research methods (by type)
- Statistics
- Structural engineering
- Structural members
- Structural systems
- Systems engineering
- Webs (structure)
Authors
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