Abstract
This paper addresses the new evolution of the study on intelligentized technologies for robotic welding based on our works in SJTU from 2006, which contains multi-information acquirement of arc welding process, such as extraction of weld pool image, voltage, current, and sound features; multi-information fusion algorithms for prediction of weld penetration by neural network and DS evidence theory; intelligentized modeling of welding process and robot system, such as welding dynamic knowledge models by SVM and RS methods, the MLD modeling of welding robot system; and intelligent control strategies for welding pool and penetration process, such as the adaptive inverse control scheme based on SVM-FRDS, control scheme based on the knowledge model by the RS theory, and the Model-Free adaptive control of pulsed GTAW; the 3-D seam tracking during robotic welding by combining arc sensing and visual sensing; and a new welding robot system for autonomously avoiding obstacles.
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Chen, S.B. (2011). Research Evolution on Intelligentized Technologies for Robotic Welding at SJTU. In: Tarn, TJ., Chen, SB., Fang, G. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Electrical Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19959-2_1
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DOI: https://doi.org/10.1007/978-3-642-19959-2_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19958-5
Online ISBN: 978-3-642-19959-2
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