ホームサービスロボットにおける命令文中の単語意味ベクトルに注目した最適行動識別

抄録

Service robots must assemble and execute its own action based on user’s voice instructions. Additionally, in order to assist human daily life, the service robots execute not a single action like an industrial robot but plurality of actions must be combined according to the situation. As the number of actions the robots can perform increases, phrase of the voice instructions increases to an enormous pattern. Therefore, the robots must understand the instructions by natural language processing. In this paper, we focus on general purpose service robot (GPSR) task of RoboCup@Home, which is a competition for performance of the service robots, and identify behavior of the robots from natural language by using word vectorization and machine learning.