| Title |
Spatial Ontology Based on Sentential Cognitive System for Human-robot Interaction |
| Authors |
고현범(Hyunbum Ko) ; 안현식(Hyunsik Ahn) |
| DOI |
https://doi.org/10.5573/ieie.2019.56.7.31 |
| Keywords |
지능형 로봇; 인지 시스템; 공간 온톨로지; 객체 관계; 인간-로봇 상호 작용 |
| Abstract |
In order for humans and robots to interact, robots need to understand the spatial information of objects. In this paper, we propose a spatial ontology for expressing relationship among objects in cognitive robots. To do this, we propose a spatial ontology for spatial reasoning that can qualitatively recognize and express the position of an object as an ontology for spatial reasoning in a schematic image of a robot cognitive system. We define two kinds of spatial ontology that are needed for the current schematic image and inference image. We automatically create the spatial ontology of the object recognition information input in three dimensions and automatically update the ontology according to the changed information. |