Autonomous Achievement of Concept Structure for Event Recognition by a Robot

本研究的目标是在机器人上实现对包含因果关系的动态事件的灵活解释能力和简报能力。本研究的一个具体目的是让机器人自主地获取和建构概念结构，提出了“认知本体”概念结构来解释机器人观察到的真实的世界事件。在本研究计画中，我们将研究目标分为以下四个研究主题：1）快速执行颜色、几何图案、结构、运动轨迹等辨识功能的实现; 2）基于对象互动预测，实现机器人选择与更新目标注意对象以组成因果关系的技术; 3）在真实的时间观察中，自动撷取与撷取概念结构的功能; 4）认知本体论基于机器人与被观察对象或事件互动的主动确认功能。

The target of the present study is to achieve a flexible interpretation ability and the briefing ability to the dynamic event which is including the causality on the robot. A concrete purpose of this study is to acquire and to structurize the conceptual structure independently by the robot.We have proposed the conceptual structure "Cognitive Ontology" to interpret the event of the real world that the robot observed. In this research project, we divide our research target into the following four research topics:1) Realization of a function to execute recognition of color, geometry pattern, structure, and movement orbit in rapid way.2) Achievement of technology that robot can selects and renews a target object of attention for composes causal relation based on forecast of objects’ interaction.3) The function automatically to extract and to acquire conceptual structure while in real time observing it.4) Active acknowledgement function of Cognitive Ontology based on interaction between the robot and an observed objects or events.