Welding seam detection and feature point extraction for robotic arc welding using laser-vision

2016 ◽  
Author(s):  
Jun-Di Sun ◽  
Guang-Zhong Cao ◽  
Su-Dan Huang ◽  
Ken Chen ◽  
Jun-Jun Yang
Keyword(s):  
Arc Welding ◽  
Feature Point ◽  
Welding Seam ◽  
Feature Point Extraction ◽  
Robotic Arc Welding ◽  
Laser Vision

scholarly journals Welding Seam Detection and Tracking Based on Laser Vision for Robotic Arc Welding

2020 ◽  
Vol 1650 ◽  
pp. 022030
Author(s):  
Ziqiang Yin ◽  
Xinqiang Ma ◽  
Xiao Zhen ◽  
Wenlong Li ◽  
Wei Cheng
Keyword(s):  
Arc Welding ◽  
Welding Seam ◽  
Detection And Tracking ◽  
Robotic Arc Welding ◽  
Laser Vision

scholarly journals A Survey of the Sensing and Control Techniques for Robotic Arc Welding

2007 ◽  
Vol 40 (5) ◽  
pp. 146-150 ◽  
Author(s):  
Zhiguo Yan ◽  
De Xu ◽  
Yuan Li ◽  
Min Tan ◽  
Zengshun Zhao
Keyword(s):  
Arc Welding ◽  
Control Techniques ◽  
Robotic Arc Welding ◽  
And Control

scholarly journals Towards an automated robotic arc-welding-based additive manufacturing system from CAD to finished part

2016 ◽  
Vol 73 ◽  
pp. 66-75 ◽  
Author(s):  
Donghong Ding ◽  
Chen Shen ◽  
Zengxi Pan ◽  
Dominic Cuiuri ◽  
Huijun Li ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Arc Welding ◽  
Manufacturing System ◽  
Finished Part ◽  
Robotic Arc Welding

A study on the welding seam tracking by using Laser Vision Sensor

ICCAS 2010 ◽  
2010 ◽  
Author(s):  
Taewook Kim ◽  
Seungbeom Lee ◽  
Seunghwan Baek ◽  
Kwangsuck Boo
Keyword(s):  
Seam Tracking ◽  
Vision Sensor ◽  
Welding Seam ◽  
Laser Vision Sensor ◽  
Laser Vision

Welding seam recognition and tracking for a novel mobile welding robot based on multi-layer sensing strategy

2021 ◽  
Author(s):  
Chao Liu ◽  
Hui Wang ◽  
Yu Huang ◽  
Youmin Rong ◽  
Jie Meng ◽  
...  
Keyword(s):  
Seam Tracking ◽  
Sensor System ◽  
Vision Sensor ◽  
Welding Robot ◽  
Welding Seam ◽  
Localization And Mapping ◽  
Laser Vision Sensor ◽  
Tracking Ability ◽  
Mobile Welding Robot ◽  
Laser Vision

Abstract Mobile welding robot with adaptive seam tracking ability can greatly improve the welding efficiency and quality, which has been extensively studied. To further improve the automation in multiple station welding, a novel intelligent mobile welding robot consists of a four-wheeled mobile platform and a collaborative manipulator is developed. Under the support of simultaneous localization and mapping (SLAM) technology, the robot is capable of automatically navigating to different stations to perform welding operation. To automatically detect the welding seam, a composite sensor system including an RGB-D camera and a laser vision sensor is creatively applied. Based on the sensor system, the multi-layer sensing strategy is performed to ensure the welding seam can be detected and tracked with high precision. By applying hybrid filter to the RGB-D camera measurement, the initial welding seam could be effectively extracted. Then a novel welding start point detection method is proposed. Meanwhile, to guarantee the tracking quality, a robust welding seam tracking algorithm based on laser vision sensor is presented to eliminate the tracking discrepancy caused by the platform parking error, through which the tracking trajectory can be corrected in real-time. The experimental results show that the robot can autonomously detect and track the welding seam effectively in different station. Also, the multiple station welding efficiency can be improved and quality can also be guaranteed.

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