Integração entre BIM e robótica na construção civil

avanços, desafios e perspectivas futuras

Autores

DOI:

https://doi.org/10.46421/entac.v20i1.5911

Palavras-chave:

Building information modeling, Robótica, Construção civil

Resumo

A integração entre Building Information Modeling (BIM) e robótica está revolucionando a indústria da construção civil, mas enfrenta desafios significativos como a interoperabilidade e a complexidade do ambiente de trabalho. Este estudo visa explorar avanços, desafios e perspectivas futuras dessa integração por meio de uma revisão sistemática da literatura. A metodologia inclui coleta de dados na plataforma SCOPUS, análise quantitativa com o software VOSviewer e análise qualitativa dos artigos mais influentes. Os resultados destacam a melhoria na eficiência e segurança dos processos construtivos, a automação de tarefas e a necessidade de desenvolvimento de habilidades especializadas. O estudo oferece insights valiosos para pesquisadores e profissionais, destacando oportunidades de pesquisa e desenvolvimento para o futuro.

Biografia do Autor

Tharlys Hikaro Pinheiro Silva, Universidade de Brasília

Graduado em Engenharia Civil pela Universidade Federal do Piauí. Mestrando em Estruturas e Construção Civil pela Universidade de Brasília (Brasília - DF, Brasil).

Igor Cleyton Ferreira de Sousa, Universidade de Brasília

Graduado em Engenharia Civil pela Universidade Cruzeiro do Sul. Mestrando em Estruturas e Construção Civil pela Universidade de Brasília (Brasília - DF, Brasil).

Dyanna Karla Pinheiro Tavares de Lima, Universidade de Brasília

Mestrado em Engenharia de Produção pela Universidade Federal do Rio Grande do Norte (Brasília - DF, Brasil).

Michele Tereza Marques Carvalho, Universidade de Brasília

Doutorado em Estruturas e Construção Civil pela Universidade de Brasília. Professora Associada na Universidade de Brasília (Brasília - DF, Brasil).

Referências

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.

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Publicado

2024-10-07

Como Citar

SILVA, Tharlys Hikaro Pinheiro; SOUSA, Igor Cleyton Ferreira de; LIMA, Dyanna Karla Pinheiro Tavares de; CARVALHO, Michele Tereza Marques. Integração entre BIM e robótica na construção civil : avanços, desafios e perspectivas futuras. In: ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO, 20., 2024. Anais [...]. Porto Alegre: ANTAC, 2024. p. 1–15. DOI: 10.46421/entac.v20i1.5911. Disponível em: https://eventos.antac.org.br/index.php/entac/article/view/5911. Acesso em: 19 out. 2024.

Edição

Seção

Gestão e Economia da Construção

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