AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (19.9 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Process control of robotic tile laying based on position-based impedance and fuzzy-adaptive contact force control

Huixing Zhoua( )Shun Wangb( )Chongwen XuaHaoyu Lia
School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Show Author Information

Abstract

Construction robots have garnered attention with the rapid development of construction automation. Such tiling robots can effectively improve the construction quality and efficiency. To enhance the quality of robotic tile laying, a control method based on position servo and position impedance was proposed herein. To improve the full filling rate, the robot improved the full reduction rate of tile laying using the effective vibration from an eccentric vibrator. Experimental results showed that the proposed method could effectively improve the tile laying quality. The results of this study will promote the application of robotic tile laying to engineering and provide a reference for the improvement in the quality of robotics in construction.

References

[1]

T. Bock. The future of construction automation: Technological disruption and the upcoming ubiquity of robotics. Autom Constr, 2015, 59: 113–121.

[2]

Q. Chen, B. G. de Soto, B. T. Adey. Construction automation: Research areas, industry concerns and suggestions for advancement. Autom Constr, 2018, 94: 22–38.

[3]

S. Y. Cai, Z. L. Ma, M. J. Skibniewski, et al. Construction automation and robotics for high-rise buildings over the past decades: A comprehensive review. Adv Eng Inf, 2019, 42: 100989.

[4]

B. García de Soto, I. Agustí-Juan, S. Joss, et al. Implications of construction 4.0 to the workforce and organizational structures. Int J Constr Manag, 2022, 22: 205–217.

[5]

F. Sherratt, R. Dowsett, S. Sherratt. Construction 4.0 and its potential impact on people working in the construction industry. Proc Inst Civil Eng-manag Procur Law, 2020, 173: 145–152.

[6]

C. P. Chea, Y. Bai, X. B. Pan, et al. An integrated review of automation and robotic technologies for structural prefabrication and construction. Trans Saf Environ, 2020, 2: 81–96.

[7]
M. E. Baharudin. Development of automatic floor tile laying machine. Master Thesis, Malaysia: Universiti Sains Malaysia, 2007.
[8]

H. Deng, H. Hong, D. H. Luo, et al. Automatic indoor construction process monitoring for tiles based on BIM and computer vision. J Constr Eng Manag, 2020, 146: 04019095.

[9]

K. L. Lin, J. L. Fang. Applications of computer vision on tile alignment inspection. Autom Constr, 2013, 35: 562–567.

[10]
S. M. Nornes. Optimal trajectory planning for robotized tiling of floors. Master Thesis, Trondheim, Norway: NTNU, 2013.
[11]
N. Hogan. Impedance control: An approach to manipulation. In: Proceedings of 1984 American Control Conference, San Diego, USA, 1984: pp 304–313.
[12]

P. Song, Y. Q. Yu, X. P. Zhang. A tutorial survey and comparison of impedance control on robotic manipulation. Robotica, 2019, 37: 801–836.

[13]

R. G. von Gioi, J. Jakubowicz, J. M. Morel, et al. LSD: A line segment detector. Image Process Line, 2012, 2: 35–55.

[14]

E. H. Mamdani, S. Assilian. An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man-Mach Stud, 1975, 7: 1–13.

Journal of Intelligent Construction
Article number: 9180031
Cite this article:
Zhou H, Wang S, Xu C, et al. Process control of robotic tile laying based on position-based impedance and fuzzy-adaptive contact force control. Journal of Intelligent Construction, 2024, 2(4): 9180031. https://doi.org/10.26599/JIC.2024.9180031

1281

Views

399

Downloads

0

Crossref

Altmetrics

Received: 09 January 2024
Revised: 06 March 2024
Accepted: 26 March 2024
Published: 17 July 2024
© The Author(s) 2024. Published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Return