Robot autonomous behavior driving method based on state knowledge graph

The invention belongs to the technical field of artificial intelligence robot task behavior planning and knowledge maps, and relates to a robot autonomous behavior driving method based on a state knowledge map, which comprises the following steps of: 1, constructing a task group knowledge map; step 2, constructing a triple knowledge graph; step 3, constructing a state knowledge graph; 4, designing a decision and driving method; and 5, designing a task decision closed-loop control system. According to the method, an automatic robot behavior driving method is generated by using a knowledge graph and a dynamic sensing system. By means of the scheme, any behavior of the robot can be combined with the dynamic sensing system, excessive manual editing and intervention are not needed in the combining process, and as a technical user, autonomous control over the behaviors of the robot can be completed only by setting the threshold value of the state and the expected attachment state. 本发明属于人工智能机器人任务行为规划、知识图谱技术领域，一种基于状态