強化学習法を用いた自動溶接機の移動経路最適化

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タイトル別名
  • Optimization of Welding Route by Automatic Machine Using Reinforcement Learning Method
  • キョウカ ガクシュウホウ オ モチイタ ジドウ ヨウセツキ ノ イドウ ケイロ サイテキカ

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抄録

A hull block is generally composed of skin plates, longitudinals and transverse webs as a grillage structure, and longitudinals and transverse webs are joined by fillet weld on a skin plate panel. Then much labour time is necessary for this welding work because of many welding lines. Then automatic welding machines of simple type using truck system are applied as well as semi-automatic CO2 weld or gravity weld at present. Since the automatic welding machines need help of workers when initial setting, turning, and shifting, the efficient routing has to be investigated for the productivity. However, it is very difficult to find an optimal weld sequence when weld line increases and then the combination number of welding sequence increases. The subject of research is so-called combinatorial problem. This paper examined how to decrease the work time using the reinforcement learning method which imitated the behavior pattern of animals.

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