オントロジと対話を利用してユーザ指示を理解するホームサービスロボットの実現

抄録

Knowledge and contextual reasoning are essential to provide more efficient service robots that take into account diverse and continuously changing environments. In addition, since robots come into contact with humans, they need to have skills such as interactivity and language skills. In this paper, we propose a system for service robots that combines ontological knowledge reasoning and human-robot interaction to interpret natural language commands and successfully perform household tasks such as finding and delivering objects. We also apply this system to a real robot and verify its operation with commands that receive missing or unclear information, and clarify problems that occur in the real world.