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Document type:
Konferenzbeitrag 
Author(s):
Günther, J.; Pilarski, P.M., Helfrich, G., Shen, H., Diepold, K. 
Title:
First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning 
Pages contribution:
474 - 483 
Abstract:
To address control difficulties in laser welding, we propose the idea of a self-learning and self-improving laser welding system that combines three modern machine learning techniques. We first show the ability of a deep neural network to extract meaningful, low-dimensional features from high-dimensional laser-welding camera data. These features are then used by a temporal-difference learning algorithm to predict and anticipate important aspects of the system’s sensor data. The third part...    »
 
Keywords:
Deep learning, reinforcement learning, prediction, control, laser welding 
Book / Congress title:
2nd International Conference on System-Integrated Intelligence: Challenges for Product and Production Engineering 
Year:
2014 
Month:
Jul 
Reviewed:
ja