Robot navigation system and navigation method

Abstract

The utility model discloses a robot navigation system and a navigation method. The robot navigation system comprises a navigation network which is formed by a plurality of wireless access points, a wireless communication module which is used for transferring data and collecting the intensity sequence communicated with the wireless access points, a sensor which is used for checking that the robot meets barriers or not, and a position server which is used for storing the referenced intensity sequence and running the intricate position arithmetic, and is characterized in that the position server is connected with the wireless communication module and interacts with the navigation network. The navigation method is characterized in that the robot judges the next target position until reaches the destination by comparing the intensity sequence collected in real time with stored reference intensity sequence of the position points; when the robot meets barriers, the robot records and demarcates the intensity sequence of the position in order to avoid entering the position again, therefore achieving intellectual learning; the robot can upload the correlative information to the position server and achieve the assistant navigation position by the help of the database of the position server and the position arithmetic. The utility model is not likely to be affected by the environment and also has the advantages of low cost of maintenance.

Description

technical field [0001] The invention belongs to the technical field of robots, and relates to a robot navigation system, which is used for robot positioning and automatic navigation in an environment where wireless access points can be installed. Background technique [0002] Mobile robot navigation is a system and method that realizes that the robot system relies on sensor technology and artificial intelligence technology to move from the starting point to the destination point in a complex environment. Common navigation methods include electromagnetic navigation, light reflection navigation, visual navigation, and taste navigation. [0003] Electromagnetic navigation is also called underground buried line navigation. Its principle is to continuously bury multiple guiding cables on the path, flow currents of different frequencies respectively, and sense the path information through the detection of the current by the induction coil. The cost of this technology is high, and...

AI Technical Summary

Problems solved by technology

[0005] The existing technology has problems such as being affected by factors such as temperature, humidity, airflow, and optical fiber in a complex environment, high maintenance costs, and requiring a high-performance processor due to conditional constraints. In order to solve the problems of the prior art, the purpose of the present invention is to simultaneously realize It is not affected by factors such as temperature, humidity, airflow, and light in complex environments, and at the same time meets the requirements of low cost for layout, transformation, and maintenance, and does not require high-performance processors. For this purpose, a robot navigation system and navigation method are provided.

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