DocumentCode
3362589
Title
Study of robot seam tracking system with laser vision
Author
Suyi, Liu ; Lingteng, Liu ; Hua, Zhang ; Jianjun, Bai ; Guorong, Wang
Author_Institution
Robot & Weld Autom. Key Lab., Nanchang Univ., Nanchang, China
fYear
2009
fDate
9-12 Aug. 2009
Firstpage
1296
Lastpage
1301
Abstract
Welding is developing to automatization and robotization, and robot welding is an important development direction. A robot real-time seam tracking system based on laser vision is researched, which includes laser vision sensing and seam image acquisition, seam images recognition and extraction, system coordinates calibration and transformation, communication between PC and robot, control for robot seam tracking, and robot seam tracking experiments. A way of image filtering is improved and four methods to recognize and extract seam images are studied. Lap-joint seam tracking experiments are performed to test the seam tracking system. Lap-joint groove experiment results show, corner detecting image recognition is satisfied with real-time seam tracking and has good precision and stability, and the whole system studied in the paper is satisfying for robot real-time seam tracking.
Keywords
feature extraction; filtering theory; image recognition; optical tracking; robot vision; robotic welding; corner detecting image recognition; image extraction; image filtering; lap-joint groove experiment; lap-joint seam tracking; laser vision sensing; robot real-time seam tracking system; robot welding; seam image acquisition; seam image recognition; system coordinates calibration; system coordinates transformation; Automatic control; Calibration; Image recognition; Machine vision; Real time systems; Robot kinematics; Robot sensing systems; Robot vision systems; Robotics and automation; Welding; image processing; laser vision; robo weldingt; seam tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-2692-8
Electronic_ISBN
978-1-4244-2693-5
Type
conf
DOI
10.1109/ICMA.2009.5246180
Filename
5246180
Link To Document