Development and Integration of Laser Sensor Tracking System in Robotic Arm for Path Correction During Welding Operation
Abstract
Keywords
References
“Robot Path Correction Using Stereo Vision
System” by G. Michalosa, S. Makrisa, A.
Eytanb, S. Matthaiakisa, G. Chryssolourisa, a
Laboratory for Manufacturing Systems and
Automation, Department of Mechanical
Engineering and Aeronautics, University of
Patras, Patras 26500, Greece.
“Real-time seam tracking for robotic laser
welding using trajectory-based control” by
Menno de Graaf, Ronald Aarts, Ben Jonker,
Johan Meijer University of Twente, Laboratory
of Mechanical Automation, P.O. Box 217, 7500
AE Enschede, The Netherlands.
“Investigation of Laser Welding Seam Tracking
Based on Visual Sensing” by Yougai Huang,
Xiangdong Gao, Deyong You and Zhenshi Li,
School of Electromechanical Engineering,
Guangdong University of Technology,
Guangzhou 510006, China.
“A Vision-Based Robotic Laser Welding
System for Insulated Mugs with Fuzzy Seam
Tracking Control” by Zaojun Fang, Wenwu
Weng, Weijun Wang, Chi Zhang and Guilin
Yang.
“Visual Recognition of the Initial and End
Points of Lap Joint for Welding Robots” by
Kiddee, P., Fang, Z. J., & Tan, M. (2014). In:
Proceeding of the IEEE International
Conference on Information and Automation
Hailar, China.
“Recognition of the initial position of weld
based on the corner identification for welding
robot in global environment” by Kong, M., Shi,
F. H., Chen, S. B., & Lin, T. (2007).
“Defect Inspection System for Shape-Based
Matching Using Two Cameras” by Sulaiman, M.,
Shah, M. H. N., Harun, M. H., & Kazim, M. N.
F. M. (2014). Journal of Theoretical and Applied
Information Technology (JATIT), 61(2), 288-
https://www.motoman.com/enus/products/controllers/yrc1000
https://kmlsensors.com/catalogs
Sandeep, S.; Sachin, M. Research
developments in laser welding. A review. Int. J.
Innov. Res. Sci. Technol. 2017
Liu Gao, Gao Bo and Zhang Dacheng:
Automation technology and Application of
Heilongjiang Vol.14(1995).
Rotaru, F., Bejinariu, S., Niţă, C. D., Luca,
R., Păvăloi, I., Lazăr, C., 2009. “Robot Vision
Application based on Complex 3D Pose
Computation”, International Conference on
Computer, Electrical, and Systems Science, and
Engineering Venice, Italia 2009.
Fang, Z.J.; Xu, D.; Tan, M. Visual seam
tracking system for butt weld of thin plate. Int. J.
Adv. Manuf. Technol. 2010.
Zhang Hua, Hu Jing and Zhou Chunhua:
Transactions of the China Welding Institution
(2004).
Kiddee, P.; Fang, Z.J.; Tan, M. A real-time
and robust feature detection method using
hierarchical strategy and modified Kalman filter
for thick plate seam tracking. Int. J. Autom.
Control. 2017.
Xu Yanling, Yu Huanwei, Zhong Jiyong,
Lin Tao and Chen Shanben: Journal of Materials
Processing Technology Vol.212(2012).
Yu, J. Y., & Na, S. J. (1998). A study on
vision sensors for seam tracking of height
varying weldment.
Gao Xiangdong, Ding Dukun and Zhao
Chuanmin: Transactions of the China Welding
Institution, Vol.2(2006).
Yu, J. Y., & Na, S. J. (1997). A study on
vision sensors for seam tracking of heightvarying weldment.
Bae, K. Y., Lee, T. H., & Ahn, K. C.
(2002). An optical sensing system for seam
tracking and weld pool control in gas metal arc
welding of steel pipe. Journal of Materials
Processing Technology.
Mahajan, A.; Figueroa, F. Intelligent seam
tracking using ultrosonic sensors for robotic
welding. Robotica 1997.
Chen, X.Z.; Chen, S.B.; Lin, T.; Lei, Y.C.
Practical method to locate the initial weld
position using visual technology. Int. J. Adv.
Manuf. Technol. 2006.
De A, Parle D. Science and Technology of
Welding and Joining, Vol.8(2003).
Hu Ronghua, Tu Keliang, Zhang Hua and
Liu Guoping: 2010 Seventh International
Conference on Fuzzy Systems and Knowledge
Discovery,Yantai,China (2010).
Baek, D.; Moon, H.S.; Park, S.H.
Development of an automatic orbital welding
system with robust weaving width control and a
seam-tracking function for narrow grooves. Int.
J. Adv. Manuf. Technol. 2017.
Craig, J. J. (1986). Introduction to robotics:
Mechanics and control. Boston:
Addison Wesley Publishing Company, Inc.
Kim, P., Rhee, S., & Lee, C. H. (1999).
Automatic seam teaching of welding robot for
free-formed seam using laser vision system.
Optics and lasers in engineering.
De Graaf, M. W. (2007). Sensor-guided
robotic laser welding. Ph.D. thesis, University
of Twente.
DOI: http://doi.org/10.11591/ijra.v11i3.pp%25p
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.