Advances techniques of the structured light sensing in intelligent welding robots: a review

被引:47
|
作者
Yang, Lei [1 ,2 ]
Liu, Yanhong [1 ,2 ]
Peng, Jinzhu [1 ,2 ]
机构
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
[2] Robot Percept & Control Engn Lab, Zhengzhou 450001, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Intelligent welding robots; Structured light sensor; Initial weld position identification; Parameter extraction; Seam tracking; Monitoring of welding pool; Welding quality detection; SEAM TRACKING SYSTEM; MULTISENSOR INFORMATION FUSION; VISION SENSOR; FEATURE-EXTRACTION; 3D RECONSTRUCTION; DEFECT DETECTION; ALUMINUM-ALLOY; NEURAL-NETWORK; PENETRATION; POSITION;
D O I
10.1007/s00170-020-05524-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of artificial intelligence and intelligent manufacturing, the traditional teaching-playback mode and the off-line programming (OLP) mode cannot meet the flexible and fast modern manufacturing mode. Therefore, the intelligent welding robots have been widely developed and applied into the industrial production lines to improve the manufacturing efficiency. The sensing system of welding robots is one of the key technologies to realize the intelligent robot welding. Due to its unique characteristics of good robustness and high precision, the structured light sensor has been widely developed in the intelligent welding robots. To adapt to different measurement tasks of the welding robots, many researchers have designed different structured light sensors and integrated them into the intelligent welding robots. Therefore, the latest research and application work about the structured light sensors in the intelligent welding robots is analyzed and summarized, such as initial weld position identification, parameter extraction, seam tracking, monitoring of welding pool, and welding quality detection, to provide a comprehensive reference for researchers engaged in these related research work as much as possible.
引用
收藏
页码:1027 / 1046
页数:20
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