Indoor mobile robot environment map building method based on wireless network and geomagnetic signals

Abstract

The invention discloses an indoor mobile robot environment map building method based on wireless network and geomagnetic signals. A mobile robot comprises a driving wheel, a driving motor connected with the driving wheel, a charging electrode male end arranged at the front end of the mobile robot, and a main control electronic device. A charging base comprises a charging electrode female end, a power supply jack and a charging control electronic device; the charging control electronic device is provided with a controller and a first WIFI module connected with the controller; the main control electronic device is provided with a processor, a second WIFI module and a geomagnetic sensor, and the second WIFI module and the geomagnetic sensor are connected with the processor. The processor setsa chain table L={(ai, bi)} for environment map storage and sets an environment map establishment method in the processor, wherein ai is equal to Ri, and bi is equal to Hi. The environment map establishment method includes the steps that the mobile robot moves along the environment boundary, and geomagnetic signal intensity and wireless signal intensity, received by the second WIFI module, of a first WIFI module are stored to the charging base at an equal interval.

Description

technical field [0001] The invention relates to a method for establishing an indoor mobile robot environment map based on a wireless network and geomagnetic signals, and belongs to the field of mobile robots. Background technique [0002] Mobile robots have already begun to be used in our lives, such as vacuum cleaners and lawn mowers. The application of robots has reduced the daily labor burden to a certain extent, which is the trend of future technological development. [0003] At present, the development of mobile robot technology is not very perfect, such as vacuuming robots and lawn mowing robots, due to the lack of positioning means and the establishment of environmental maps, resulting in low work efficiency. Use random paths when working, walk freely in the working environment without any path planning. When the work is over or the battery is low, the method of searching for the charging base is often used along the boundary of the working area. For example, the vac...

AI Technical Summary

Problems solved by technology

This method takes a long time to return to the charging base under average conditions in a complex environment or a large area. search in the opposite direction

In addition, there are also random collection methods, such as some vacuum cleaners, which are inefficient and often fail

[0004] With the development of technology, mobile robots are now equipped with two-dimensional or even three-dimensional lidar for environment detection and map building, but this method is very costly, and the price of the sensor itself has far exceeded the cost of the current mobile robot

There are also image sensors for environment detection and map creation, which require high hardware computing power and harsh environmental lighting conditions.

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