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Zheng, C., An, Y., Wang, Z., Wu, H., & Zhang, Y. (2022). Hybrid offline programming method for robotic welding systems. Robotics and Computer-Integrated Manufacturing, 73, 102238.Search in Google Scholar
Chen, S. B., Wang, W. Y., & Ma, H. B. (2010). Intelligent control of arc welding dynamics during robotic welding process. Materials Science Forum, 638-642, 3751-3756.Search in Google Scholar
Xu, Y., Lv, N., Fang, G., Du, S., & Chen, S. (2017). Welding seam tracking in robotic gas metal arc welding. Journal of Materials Processing Technology, 248.Search in Google Scholar
Xu, Y., Yu, H., Zhong, J., Lin, T., & Chen, S. (2012). Real-time seam tracking control technology during welding robot gtaw process based on passive vision sensor. Journal of Materials Processing Technology, 212(8), 1654–1662.Search in Google Scholar
Gao, X., You, D., & Katayama, S. (2012). Infrared image recognition for seam tracking monitoring during fiber laser welding. Mechatronics, 22(4), 370-380.Search in Google Scholar
Guo, J., Zhu, Z., Sun, B., & Zhang, T. (2020). A novel field box girder welding robot and realization of all-position welding process based on visual servoing. Journal of Manufacturing Processes, 63(1).Search in Google Scholar
Ranjan, R., Khan, A. R., Parikh, C., Jain, R., Mahto, R. P., & Pal, S., et al. (2016). Classification and identification of surface defects in friction stir welding: an image processing approach. Journal of Manufacturing Processes, 22(Apr.), 237-253.Search in Google Scholar
Lv, X., Qu, Z., Su, H., Xu, L., & Jing, H. (2022). Study on arc characteristics of different defects in pulsed micro-plasma arc welding. Journal of Materials Processing Technology, 302, 117514-.Search in Google Scholar
Mira-Aguiar, T., Verdera, D., Leit?O, C., & Rodrigues, D. M. (2016). Tool assisted friction welding: a fsw related technique for the linear lap welding of very thin steel plates. Journal of Materials Processing Technology, 73-80.Search in Google Scholar
García-García, V., Mejía, I., & Reyes-Calderón, F. (2018). Quantitative metallographic characterization of welding microstructures in ti-containing twip steel by means of image processing analysis. Materials Characterization, 147, 1-10.Search in Google Scholar
Chen, Y. C. X. (2021). Narrow gap deviation detection in keyhole tig welding using image processing method based on mask-rcnn model. The International Journal of Advanced Manufacturing Technology, 112(7a8).Search in Google Scholar
Lei, T., Huang, Y., Wang, H., & Rong, Y. (2020). Automatic weld seam tracking of tube-to-tubesheet tig welding robot with multiple sensors. Journal of Manufacturing Processes.Search in Google Scholar
Le, X. Q. G. (2017). Rectangular fillet weld tracking by robots based on rotating arc sensors in gas metal arc welding. The International Journal of Advanced Manufacturing Technology, 93(5a8).Search in Google Scholar
Su, N., Wang, J., Xu, G., Zhu, J., & Wang, J. (2022). Infrared visual sensing detection approach of swing arc narrow gap weld deviation based on outlier data filtering. IEEE sensors journal.Search in Google Scholar
Wang, B. Z. T. (2018). Robust discriminant correlation filter-based weld seam tracking system. The International Journal of Advanced Manufacturing Technology, 98(9a12).Search in Google Scholar
Yamane, S. (2020). Tracking the welding line in lap welding using pattern matching. ISIJ International, 60(8), 1752-1757.Search in Google Scholar
Zhu, J., Wang, J., Su, N., Xu, G., & Yang, M. (2017). An infrared visual sensing detection approach for swing arc narrow gap weld deviation. Journal of Materials Processing Technology, 243, 258-268.Search in Google Scholar
Yu, R., Kershaw, J., Wang, P., & Zhang, Y. (2021). Real-time recognition of arc weld pool using image segmentation network. Journal of manufacturing processes(Dec.), 72.Search in Google Scholar