A method of welding path planning of steel mesh based on point cloud for welding robot

被引:15
作者
Geng, Yusen [1 ,2 ]
Zhang, Yuankai [1 ,2 ]
Tian, Xincheng [1 ,2 ]
Shi, Xiaorui [3 ]
Wang, Xiujing [3 ]
Cui, Yigang [3 ]
机构
[1] Shandong Univ, Ctr Robot, Sch Control Sci & Engn, Jinan 250061, Peoples R China
[2] Minist Educ, Engn Res Ctr Intelligent Unmanned Syst, Jinan 250061, Peoples R China
[3] Sinotruk Jinan Power Co Ltd, Sinotruk Ind Pk Zhangqiu, Jinan 250220, Peoples R China
关键词
Without teaching and programming; 3D structured light camera; Steel mesh point cloud; Welding path planning; SEAM TRACKING; GTAW PROCESS;
D O I
10.1007/s00170-021-07601-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, the operators needs to carry out complicated teaching and programming work on the welding path planning for the welding robot before welding the steel mesh. In this work, an automatic welding path planning method of steel mesh based on point cloud is proposed to simplify the complicated teaching and programming work in welding path planning. The point cloud model of steel mesh is obtained by three-dimensional vision structured light camera. Then, we use the relevant point cloud processing algorithm to calculate the welding path of the steel mesh, and obtain the 3D information of the welding path for the welding localization of the robot welding process. Experimental results show that the method can accurately realize the welding path planning of the steel mesh and accomplish the welding task without teaching and programming before welding, which improves the production efficiency.
引用
收藏
页码:2943 / 2957
页数:15
相关论文
共 22 条
[1]  
Ahmed SM, 2016, 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), P2610, DOI 10.1109/IROS.2016.7759406
[2]   A weld line detection robot based on structure light for automatic NDT [J].
Dong, Zhaoxuan ;
Mai, Zhiheng ;
Yin, Shiqi ;
Wang, Jie ;
Yuan, Jie ;
Fei, Yuenong .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 111 (7-8) :1831-1845
[3]   Strong noise image processing for vision-based seam tracking in robotic gas metal arc welding [J].
Du, Rongqiang ;
Xu, Yanling ;
Hou, Zhen ;
Shu, Jun ;
Chen, Shanben .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 101 (5-8) :2135-2149
[4]   Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis [J].
Fu, Cheng ;
Wang, Qing-Guo ;
Yu, Jinpeng ;
Lin, Chong .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (07) :3268-3273
[5]   A teaching-free welding method based on laser visual sensing system in robotic GMAW [J].
Hou, Zhen ;
Xu, Yanling ;
Xiao, Runquan ;
Chen, Shanben .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 109 (5-6) :1755-1774
[6]   A tactual weld seam tracking method in super narrow gap of thick plates [J].
Lei Ting ;
Huang Yu ;
Shao Wenjun ;
Liu Weinan ;
Rong Youmin .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2020, 62
[7]   Measurement and Defect Detection of the Weld Bead Based on Online Vision Inspection [J].
Li, Yuan ;
Li, You Fu ;
Wang, Qing Lin ;
Xu, De ;
Tan, Min .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2010, 59 (07) :1841-1849
[8]   Iterative Local ANFIS-Based Human Welder Intelligence Modeling and Control in Pipe GTAW Process: A Data-Driven Approach [J].
Liu, YuKang ;
Zhang, YuMing .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (03) :1079-1088
[9]   Feasibility Study of a Structured Light System Applied to Welding Inspection Based on Articulated Coordinate Measure Machine Data [J].
Rodriguez-Martin, Manuel ;
Rodriguez-Gonzalvez, Pablo ;
Gonzalez-Aguilera, Diego ;
Fernandez-Hernandez, Jesus .
IEEE SENSORS JOURNAL, 2017, 17 (13) :4217-4224
[10]  
Wang Li-ming, 2020, 2020 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA), P57, DOI 10.1109/AIEA51086.2020.00019