Robot Integrated Navigation Based on Landmark Information Fusion in Home Environment

An integrated navigation system is proposed based on the sharing information between the robot and intelligence space. Firstly the landmarks are detected by the vision, the landmarks information which is offered by the intelligence space is fused using the D-S evidence theory, and then the path is planned. The robot's distance sensors are used for real time obstacle-avoidance. In the end the decisions are fused to control robot to move. The experiment shows that this method can get better path and response rapidly.