Path planning algorithm of mowing robot

Abstract

The invention discloses a path planning algorithm of a mowing robot. The mowing robot comprises an electronic control device, a camera system and a GPS (Global Position System) positioning module, wherein the electronic control device is used for setting a processor, the processor is used for setting the path planning algorithm, and the path planning algorithm comprises the following steps of: 1, obtaining the position data of a charging seat, starting off by starting a mowing motor, searching a lawn natural boundary leftwards through the camera system, then walking forwards along the lawn natural boundary, and collecting forward images in real time; 2, obtaining the lawn natural boundary and positioning piles from the images by the processor, and walking forwards along a non-natural boundary formed by the natural boundary and the positioning piles until walking back to the position of the charging seat; 3, starting to search a mowing boundary by the mowing robot, starting to work along the mowing boundary, working towards the center of a lawn circle by circle; and 4, judging that the mowing task is finished when the mowing robot cannot find mowing boundary, shutting down the mowing motor, and walking back to the position of the charging seat.

Description

technical field [0001] The invention relates to a path planning algorithm for a mowing robot, belonging to the technical field of intelligent household appliances. Background technique [0002] At present, the maintenance of the lawn generally uses manual methods. In this way, the labor intensity of the staff is very high, especially when the weather is bad, they need to withstand the wind and sun, and they must also endure annoying noises. Therefore, people began to use automatic lawn mowing robots to replace people to do the hard work. The current lawn mowing robot is still in the initial stage of development, and there are several disadvantages: [0003] 1. To limit the working range of the mowing robot by laying geomagnetic wires, it not only needs to consume a lot of copper wires, but also needs to be constructed; [0004] 2. There is no path planning, and the random walking method is adopted, so the work efficiency is low; [0005] 3. The battery capacity is large...

AI Technical Summary

Problems solved by technology

[0004] 2. There is no path planning, and the random walking method is adopted, so the work efficiency is low;

[0005] 3. The battery capacity is large, and the working lawn area is small

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