First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning

  • Johannes Günthera, Patrick M. Pilarskib, Gerhard Helfricha, Hao Shena, Klaus Diepolda
  • Published 2014

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… (More)

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