Simultaneous Planning for Item Picking and Placing by Deep Reinforcement Learning
Tatsuya Tanaka,Toshimitsu Kaneko,Masahiro Sekine,Voot Tangkaratt,Masashi Sugiyama,Tatsuya Tanaka,Toshimitsu Kaneko,Masahiro Sekine,Voot Tangkaratt,Masashi Sugiyama
Container loading by a picking robot is an important challenge in the logistics industry. When designing such a robotic system, item picking and placing have been planned individually thus far. However, since the condition of picking an item affects the possible candidates for placing, it is preferable to plan picking and placing simultaneously. In this paper, we propose a deep reinforcement learn...
