Abstract
In order to explore the application of robot welding machine technology in modern buildings, this paper analyzes the robot welding technology, combines machine vision to analyze the visual calibration of the welding robot, and corrects the calibration results through experimental data to obtain the robot hand-eye parameters. Moreover, this paper uses Rodriguez transformation to convert the rotation vector into a rotation matrix and combines with the translation vector to obtain the conversion matrix from the camera coordinate system to the calibration board coordinate system. In addition, this paper combines the simulation test to evaluate the technical application effect of robot welding technology. From the simulation results, it can be seen that robot welding technology can meet the welding needs of modern buildings. Finally, this paper analyzes the application of robotic welding technology in modern buildings. The research results show that robot welding technology can play an important role in modern buildings.
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References
Chai X, Zhang N, He L et al (2020) Kinematic sensitivity analysis and dimensional synthesis of a redundantly actuated parallel robot for friction stir welding[J]. Chinese J Mech Eng 33(1):1–10
Chen S, Zhou Y, Xue J et al (2017) High rotation speed friction stir welding for 2014 aluminum alloy thin sheets[J]. J Mater Eng Perform 26(3):1337–1345
Du JH, Deng JX, Huang KJ et al (2018) Seam tracking system based on rotating arc sensor for robot arc welding[J]. J Discrete Math Sci Cryptography 21(6):1407–1412
Fang HC, Ong SK, Nee AYC (2017) Adaptive pass planning and optimization for robotic welding of complex joints[J]. Advances in Manufacturing 5(2):93–104
Feucht T, Lange J, Erven M et al (2020) Additive manufacturing by means of parametric robot programming [J]. Construction Robotics 4(1):31–48
Haitao L, Tingke W, Jia F et al (2021) Analysis of typical working conditions and experimental research of friction stir welding robot for aerospace applications[J]. Proc Inst Mech Eng C J Mech Eng Sci 235(6):1045–1056
Han L, Zhong Q, Chen G et al (2019) Development of local dry underwater welding technology[J]. J ZheJiang Univ (engineering Science) 53(7):1252–1264
Hou Z, Xu Y, Xiao R et al (2020) A teaching-free welding method based on laser visual sensing system in robotic GMAW[J]. Int J Adv Manufacturing Technol 109(5):1755–1774
Jichang G, Zhiming Z, Xin W et al (2018) Numerical solution of the inverse kinematics and trajectory planning for an all-position welding robot[J]. J Tsinghua Univ (sci Technol) 58(3):292–297
Kim J, Lee J, Chung M et al (2021) Multiple weld seam extraction from RGB-depth images for automatic robotic welding via point cloud registration[J]. Multimed Tools Appl 80(6):9703–9719
Liu Y, Ren L, Tian X (2019) A robot welding approach for the sphere-pipe joints with swing and multi-layer planning[J]. Int J Adv Manufacturing Technol 105(1):265–278
Łukasik Z, Kuśmińska-Fijałkowska A, Kozyra J et al (2018) The problem of power supply for station with industrial robot in an automated welding process[J]. Electr Eng 100(3):1365–1377
Michal D, Košťál P, Lecký Š et al (2018) Racionalization of Robotic Workstation in Welding Industry[J]. Vedecké Práce Materiálovotechnologickej Fakulty Slovenskej Technickej Univerzity v Bratislave so Sídlom v Trnave 26(42):159–164
Ströber K, Abele C (2018) Titanium Welding Technology for Series Production[J]. Lightweight Des Worldw 11(4):12–15
Tam W, Cheng L, Wang T et al (2019) An improved genetic algorithm based robot path planning method without collision in confined workspace[J]. Int J Model Ident Control 33(2):120–129
Wang Y, Chen X, Konovalov SV (2017) Additive manufacturing based on welding arc: a low-cost method[J]. J Surf Invest 11(6):1317–1328
Wang Q, Jiao W, Wang P et al (2020) Digital twin for human-robot interactive welding and welder behavior analysis[J]. IEEE/CAA J Autom Sinica 8(2):334–343
Yang L, Li E, Long T et al (2018a) A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm[J]. Int J Adv Manufacturing Technol 94(1):1209–1220
Yang L, Li E, Long T et al (2018b) A novel 3-D path extraction method for arc welding robot based on stereo structured light sensor[J]. IEEE Sens J 19(2):763–773
Yang L, Li E, Long T et al (2018c) A high-speed seam extraction method based on the novel structured-light sensor for arc welding robot: a review[J]. IEEE Sens J 18(21):8631–8641
Zhang B, Shi Y, Gu S (2019) Narrow-seam identification and deviation detection in keyhole deep-penetration TIG welding[J]. Int J Adv Manufacturing Technol 101(5):2051–2064
Zou Y, Lan R (2019) An end-to-end calibration method for welding robot laser vision systems with deep reinforcement learning[J]. IEEE Trans Instrum Meas 69(7):4270–4280
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Guan, T. Research on the application of robot welding technology in modern architecture. Int J Syst Assur Eng Manag 14, 681–690 (2023). https://doi.org/10.1007/s13198-021-01473-5
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DOI: https://doi.org/10.1007/s13198-021-01473-5