Published since 1923
DOI: 10.33622/0869-7019
Russian Science Citation Index (RSCI) на платформе Web of Science


  • INFORMATION SYSTEMS IN CONSTRUCTION
  • Robotic Design In Construction
  • UDC 69:004.62
    doi: 10.33622/0869-7019.2025.04.68-72
    Petr A. MANIN1, pmanin@mail.ru
    Larisa R. EPIFANTSEVA2, epifantsevalr@tyuiu.ru
    1 Technical committee 505 "Information Modelling", ul. Vozdvizhenka, 10, Moscow 125009, Russian Federation
    2 Tyumen Industrial University, ul. Volodarskogo, 38, Tyumen 625000, Russian Federation
    Abstract. Currently, information modeling in construction is successfully used in Russia and is not inferior to international standards. It is used not only for design, but also for construction process management (4D), cost estimation (5D), collision resolution, and construction supervision. However, even with the active use of BIM technologies, the direct execution of design tasks is still left to the individual. Designers handle routine operations, make design decisions, and coordinate the entire process, which preserves the risk of errors. In the context of the introduction of new technologies, robotic design represents the next stage of development. The article discusses modern approaches to robotic design in construction, emphasizes the importance of fully automating the process of creating BIM models and project documentation. The main stages of robotic design are given, and the advantages of this technology are noted. The limitations of robotic design are shown. In conclusion, attention is focused on the potential of using robotic design to optimize the financial performance of projects and the prospects for its further development in the construction industry.
    Keywords: robotic design, generative design, information modeling, artificial intelligence, architectural and planning solution
  • REFERENCES
    1. Chelyshkov P. D., Volkov A. A., Davydov A. E. Digital management system of the life cycle of capital construction objects. Promyshlennoe i grazhdanskoe stroitel'stvo, 2023, no. 2, pp. 10-19. (In Russ.). doi: 10.33622/0869-7019.2023.02.10-19
    2. Filatov V. V., Pestrikova A. D., Adamtsevich L. A. Domestic Experience In The Development of information modeling technologies. Promyshlennoe i grazhdanskoe stroitel'stvo, 2023, no. 9, pp. 80-87. (In Russ.). doi: 10.33622/0869-7019.2023.09.80-87
    3. Sacks R., Girolami M., Brilakis I. Building information modelling, artificial intelligence and construction tech [Информационное моделирование, искусственный интеллект и строительная техника]. Developments in the Built Environment, 2020, vol. 4, p. 100011. doi: 10.1016/j.dibe.2020.100011
    4. Baduge S. K., Thilakarathna S., Perera J. S. et al. Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications [Искусственный интеллект и интеллектуальное зрение для строительства 4.0]. Automation in Construction, 2022, vol. 141, p. 104440. doi: 10.1016/j.autcon.2022.104440
    5. Tamrazyan A. G., Medvedev A. E. Artificial intelligence technology in the design and calculation of buildings. Promyshlennoe i grazhdanskoe stroitel'stvo, 2024, no. 7, pp. 17-24. (In Russ.). doi: 10.33622/0869-7019.2024.07.17-24
    6. Monla Z., Assila A., Beladjine D., Zghal M. Maturity evaluation methods for BIM-based AR/VR in construction industry: a literature review [Методы оценки зрелости AR/VR на основе BIM в строительной отрасли: обзор литературы]. IEEE Access, 2023, vol. 11, pp. 101134-101154. doi: 10.1109/access.2023.3281265
    7. Perrier N., Bled A., Bourgault M. et al. Construction 4.0: a survey of research trends [Строительство 4.0: обзор тенденций исследований]. Journal of Information Technology in Construction, 2020, vol. 25, pp. 416-437. doi: 10.36680/j.itcon.2020.024
    8. Rachmawati T. S. N., Kim S. Unmanned aerial vehicles integration with digital technologies toward construction 4.0: a systematic literature review [Интеграция беспилотных летательных аппаратов с цифровыми технологиями для строительства 4.0: систематический обзор литературы]. Sustainability, 2022, vol. 14, no. 9, p. 5708. doi: 10.3390/su14095708
    9. Sestras P., RoХca S., BilaХco Ф. et al. Feasibility assessments using unmanned aerial vehicle technology in heritage buildings [Оценка целесообразности использования технологии беспилотных летательных аппаратов в зданиях культурного наследия]. Sensors, 2020, vol. 20(7), p. 2054. doi: 10.3390/s20072054
    10. Pessoa S. et al. 3D printing in the construction industry-A systematic review of the thermal performance in buildings [3D-печать в строительной индустрии - систематический обзор тепловых характеристик зданий]. Renewable and Sustainable Energy Reviews, 2021, vol. 141, p. 110794.
    11. Alqenaee A. Y., Memari A. M., Hojati M. Transition from traditional cob construction to 3d printing of clay homes [Переход от традиционного строительства из глины к 3d-печати глиняных домов]. Journal of Green Building, 2021, vol. 16, no. 4, pp. 3-28.
    12. Suslov S., Katalevsky D. Modeling and simulation toolset [Набор инструментов для моделирования и симуляции]. Evolving Toolbox for Complex Project Management, Auerbach Publications, 2019, pp. 417-450.
    13. Kocharyan A. G., Tatarenkov A. I. Robotics and artificial intelligence in construction: prospects and challenges. Alleya nauki, 2023, vol. 2, no. 12(87), pp. 151-155. (In Russ.).
    14. Sborshchikov S. B., Lazareva N. V. Theoretical foundations and practices of reengineering realization in construction. Vestnik MGSU, 2024, vol. 19(11), pp. 1824-1834. (In Russ.).
    15. Kurnikov T. D., Gulyakin D. V. BIM technologies and their application in architecture. Tendentsii razvitiya nauki i obrazovaniya, 2023, no. 102-6, pp. 112-115. (In Russ.).
    16. Litvinchuk V. V., Krikheli V. M. Technologies of digital organization of construction processes: 3D printing, robots, exoskeletons, drones, sensors, scanners. Nauka i innovatsionnye tekhnologii, 2024, no. 1(30), pp. 183-190. (In Russ.). doi: 10.33942/sit1182
    17. Ignatova E. V., Matyukhina M. A., Smorzhenkov N. S. Sustainable development based on digital technologies in construction. Stroitel'stvo i arkhitektura, 2022, vol. 10, no. 2, pp. 56-60. (In Russ.).
    18. Aleksanin A. V., Zharov Ya. V. The potential of using digital information models in the framework of construction management. Promyshlennoe i grazhdanskoe stroitel'stvo, 2022, no. 1, pp. 52-55. (In Russ.). doi: 10.33622/0869-7019.2022.01.52-55
    19. Gan D., Caro S., Chen G. et al. Special section: theory and design of reconfigurable mechanisms and robots [Специальная секция: теория и проектирование реконфигурируемых механизмов и роботов]. Journal of Mechanisms and Robotics, 2022, vol. 14, no.6, pp. 1-3. doi: 10.1115/1.4055836.
    20. URL: https://www.https://rtim.city (дата обращения: 06.02.2025).
    21. URL: https://www.swapp.ai/post/attract-great/ (дата обращения: 15.01.2025).
    22. Ahmed S., Romdhane L., El-Sayegh S. M., Manjikian S. Risk assessment for 3D printing in construction projects [Оценка рисков при использовании 3D-печати в строительных проектах]. Journal of Financial Management of Property and Construction, 2024, vol. 30, no. 1, pp. 67-87.
    23. Asadi K., Kalkunte Suresh A., Ender A. et al. An integrated UGV-UAV system for construction site data collection [Интегрированная система UGV-UAV для сбора данных на строительной площадке]. Automation in Construction, 2020, vol. 112, pp. 103068.
    24. URL: https://www.c-o-k.ru/articles/cifrovoy-dvoynik-obekta-dlya-stadii-ekspluatacii/ (дата обращения: 15.01.2025).
    25. URL: http://isicad.ru/ru/articles.php?article_num=21855 (дата обращения: 15.01.2025).
    26. URL: https://isicad.ru/ru/articles.php?article_num=23109 (дата обращения: 15.01.2025).
  • For citation: Manin P. A., Epifantseva L. R. Robotic Design in Construction. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering], 2025, no. 4, pp. 68-72. (In Russ.). doi: 10.33622/0869-7019.2025.04.68-72

BACK