Adaptive Laser Welding Control: A Reinforcement Learning Approach

Adaptive Laser Welding Control: A Reinforcement Learning Approach

Despite extensive research efforts in the field of laser welding, the imperfect repeatability of the weld quality still represents an open topic. Indeed, the inherent complexity of the underlying physical phenomena prevents the implementation of an effective controller using conventional regulators....

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Bibliographic Details
Main Authors: Giulio Masinelli, Tri Le-Quang, Silvio Zanoli, Kilian Wasmer, Sergey A. Shevchik
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Laser welding
laser material processing
reinforcement learning
policy gradient
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closed-loop control
Online Access:https://ieeexplore.ieee.org/document/9102251/

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https://ieeexplore.ieee.org/document/9102251/

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