Benutzer: Gast  Login
Titel:

First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Günther, J.; Pilarski, P.M., Helfrich, G., Shen, H., Diepold, K.
Seitenangaben Beitrag:
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 of...     »
Stichworte:
Deep learning, reinforcement learning, prediction, control, laser welding
Kongress- / Buchtitel:
2nd International Conference on System-Integrated Intelligence: Challenges for Product and Production Engineering
Jahr:
2014
Monat:
Jul
Reviewed:
ja
Volltext / DOI:
doi:10.1016/j.protcy.2014.09.007
 BibTeX