Integration of BIM and robotics in construction
advances, challenges, and future perspectives
DOI:
https://doi.org/10.46421/entac.v20i1.5911Keywords:
Building information modeling, Robotics, ConstructionAbstract
The integration of Building Information Modeling (BIM) and robotics is revolutionizing the construction industry but faces significant challenges such as interoperability and the complexity of work environments. This study aims to explore the advancements, challenges, and future prospects of this integration through a systematic literature review. The methodology includes data collection from the SCOPUS platform, quantitative analysis using VOSviewer software, and qualitative analysis of the most influential articles. The results highlight improvements in efficiency and safety of construction processes, task automation, and the need for the development of specialized skills. The study provides valuable insights for researchers and professionals, highlighting opportunities for future research and development.
References
KANGARI, R.; HALPIN, D. W. Potential Robotics Utilization in Construction. Journal of Construction Engineering and Management,
v. 115, n. 1, p. 126–143, mar. 1989. DOI: http://dx.doi.org/10.1061/(ASCE)0733-9364(1989)115:1(126).
BOCK, T.; LINNER, T. Construction Robots: Volume 3. [s.l.] Cambridge University Press, 2016.
DELGADO, J. M. D. et al. Robotics and automated systems in construction: Understanding industry-specific challenges for
adoption. Journal of Building Engineering, v. 26, n. 1, p. 100868, nov. 2019. DOI: https://doi.org/10.1016/j.jobe.2019.100868.
WANG, X. et al. Automatic high-level motion sequencing methods for enabling multi-tasking construction robots. Automation in
Construction, v. 155, p. 105071–105071, 1 nov. 2023. DOI: https://doi.org/10.1016/j.autcon.2023.105071.
CAI, J. et al. Prediction-Based Path Planning for Safe and Efficient Human–Robot Collaboration in Construction via Deep
Reinforcement Learning. Journal of Computing in Civil Engineering, v. 37, n. 1, 1 jan. 2023. DOI: https://doi.org/10.1061/
(ASCE)CP.1943-5487.0001056.
FENG, C. et al. Vision guided autonomous robotic assembly and as-built scanning on unstructured construction sites. Automation
in Construction, v. 59, p. 128–138, nov. 2015. DOI: https://doi.org/10.1016/j.autcon.2015.06.002.
LUNDEEN, K. M. et al. Scene understanding for adaptive manipulation in robotized construction work. Automation in Construction,
v. 82, p. 16–30, out. 2017. DOI: https://doi.org/10.1016/j.autcon.2017.06.022.
PAN, M. et al. Influencing factors of the future utilisation of construction robots for buildings: A Hong Kong perspective. Journal of
Building Engineering, v. 30, p. 101220, jul. 2020. DOI: https://doi.org/10.1016/j.jobe.2020.101220.
LIANG, C.-J.; KAMAT, V. R.; MENASSA, C. C. Teaching robots to perform quasi-repetitive construction tasks through human
demonstration. Automation in Construction, v. 120, p. 103370, dez. 2020. DOI: https://doi.org/10.1016/J.AUTCON.2020.103370.
MICHALOS, G. et al. ROBO-PARTNER: Seamless Human-Robot Cooperation for Intelligent, Flexible and Safe Operations in the
Assembly Factories of the Future. Procedia CIRP, v. 23, p. 71–76, 1 jan. 2014. DOI: https://doi.org/10.1016/j.procir.2014.10.079.
SHERWANI, F.; ASAD, M. M.; IBRAHIM, B. S. K. K. Collaborative Robots and Industrial Revolution 4.0 (IR 4.0). In: International
Conference on Emerging Trends in Smart Technologies (ICETST), 2020, Karachi, Pakistan. p. 1-5. DOI: https://doi.org/10.1109/
ICETST49965.2020.9080724.
SU, X. et al. Uncertainty-aware visualization and proximity monitoring in urban excavation: a geospatial augmented reality
approach. Visualization in Engineering, v. 1, n. 1, p. 2, 2013. https://doi.org/10.1186/2213-7459-1-2.
PINI, F.; LEALI, F.; MATTEO ANSALONI. A systematic approach to the engineering design of a HRC workcell for bio-medical product
assembly. In: IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), 2015, Luxembourg, Luxembourg. pp.
-8. DOI: 10.1109/ETFA.2015.7301655.
CARRA, G. et al. Robotics in the Construction Industry: State of the Art and Future Opportunities. Proceedings of the 35th
International Symposium on Automation and Robotics in Construction (ISARC), 22 jul. 2018. DOI: https://doi.org/10.22260/
ISARC2018/0121.
BARBER, R. et al. Mobile Robot Navigation in Indoor Environments: Geometric, Topological, and Semantic Navigation. Applications
of Mobile Robots, 20 mar. 2019. DOI: https://doi.org/10.5772/intechopen.79842.
JOO, S.-H. et al. A Realtime Autonomous Robot Navigation Framework for Human like High-level Interaction and Task Planning in
Global Dynamic Environment. arXiv (Cornell University), 1 jan. 2019. DOI: https://doi.org/10.48550/arXiv.1905.12942.
HARRIS, B. N.; ALVES, T. C. L. Building Information Modeling: A Report from the Field. In: Proceedings of the 24th Annual
Conference of the International Group for Lean Construction, Boston, MA, USA, 2016, section 5, p. 13–22.
CHENG, J. C. P.; LU, Q. A review of the efforts and roles of the public sector for BIM adoption worldwide. Journal of Information
Technology in Construction (ITcon), v. 20, n. 27, p. 442–478, 27 out. 2015.
Autodesk. Building Information Modeling. ©2002. Disponível em: http://www.laiserin.com/features/bim/autodesk_bim.pdf.
Acesso em: 16 abr. 2024.
BYERS, G.; RAZAVIALAVI, S.; KIAVARZ, H. Review of the Applications of Building Information Modelling in Robotics. Transforming
Construction with Reality Capture Technologies, 31 ago. 2022.
GALVÃO, M.C.B.; RICARTE, I.L.M. Revisão Sistemática Da Literatura: Conceituação, Produção e Publicação. Logeion: Filosofia da
Informação, Rio de Janeiro, RJ, v. 6, n. 1, p. 57–73, 2019.
BÖRNER, K.; CHEN, C.; BOYACK, K. W. Visualizing knowledge domains. Annual Review of Information Science and Technology, v. 37,
n. 1, p. 179–255, 31 jan. 2005.
SU, H.-N.; LEE, P.-C. Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology
Foresight. Scientometrics, v. 85, n. 1, p. 65–79, 22 jun. 2010.
VEERAKUMAR RANGASAMY; JYH BIN YANG. The convergence of BIM, AI and IoT: Reshaping the future of prefabricated
construction. Journal of Building Engineering, p. 108606–108606, 1 jan. 2024.
HE, R. et al. BIM-enabled computerized design and digital fabrication of industrialized buildings: A case study. Journal of Cleaner
Production, v. 278, p. 123505, jan. 2021. DOI: https://doi.org/10.1016/j.jclepro.2020.123505.
ASADI, K. et al. Real-Time Image Localization and Registration with BIM Using Perspective Alignment for Indoor Monitoring of
Construction. Journal of Computing in Civil Engineering, v. 33, n. 5, p. 04019031, set. 2019. DOI: https://doi.org/10.1061/
(ASCE)CP.1943-5487.0000847.
TAVARES, P. et al. Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality.
Automation in Construction, v. 106, p. 102825, out. 2019. DOI: https://doi.org/10.1016/j.autcon.2019.04.020.
KIM, S. et al. Development of BIM-integrated construction robot task planning and simulation system. Automation in Construction,
v. 127, p. 103720, jul. 2021. DOI: https://doi.org/10.1016/j.autcon.2021.103720.
LUNDEEN, K. M. et al. Autonomous motion planning and task execution in geometrically adaptive robotized construction work.
Automation in Construction, v. 100, p. 24–45, abr. 2019. DOI: https://doi.org/10.1016/j.autcon.2018.12.020.
HASAN, S. M. et al. Augmented reality and digital twin system for interaction with construction machinery. Journal of Asian
Architecture and Building Engineering, p. 1–12, 21 fev. 2021. DOI: https://doi.org/10.1080/13467581.2020.1869557.
ADÁN, A. et al. An autonomous robotic platform for automatic extraction of detailed semantic models of buildings. Automation in
Construction, v. 109, p. 102963, jan. 2020. DOI: https://doi.org/10.1016/j.autcon.2019.102963.
FOLLINI, C. et al. BIM-Integrated Collaborative Robotics for Application in Building Construction and Maintenance. Robotics, v. 10,
n. 1, p. 2, 25 dez. 2020. DOI: https://doi.org/10.3390/robotics10010002.
ZHU, A.; PAUWELS, P.; DE VRIES, B. Smart component-oriented method of construction robot coordination for prefabricated
housing. Automation in Construction, v. 129, p. 103778, set. 2021. DOI: https://doi.org/10.1016/j.autcon.2021.103778.
MUHAMMAD, I. et al. Robot-Assisted Object Detection for Construction Automation: Data and Information-Driven Approach. v. 26,
n. 6, p. 2845–2856, 1 dez. 2021. DOI: https://doi.org/10.1109/TMECH.2021.3100306.
PAUL, J.; BARARI, M. Meta‐analysis and Traditional Systematic Literature reviews—What, why, when, where, and how? Psychology
& Marketing, v. 39, n. 6, p. 1099–1115, 11 mar. 2022.
PATRICIA, A. et al. Automated on-site assembly of timber buildings on the example of a biomimetic shell. Automation in
construction, v. 156, p. 105118–105118, 1 dez. 2023. DOI: https://doi.org/10.1016/j.autcon.2023.105118.