Floor sweeping robot, obstacle avoidance method, and readable storage medium

Abstract

The invention provides a floor sweeping robot, an obstacle avoidance method, and a readable storage medium. The floor sweeping robot includes a camera, a processor and a driver. The obstacle avoidance method includes the steps: utilizing the camera to take images of the ground in the driving direction of the floor sweeping robot, performing line detection on the images after zooming and grey processing, identifying obstacles, determining the world coordinates of the obstacles to perform predetermination according to the world coordinates of the obstacles, calculating the driving direction and speed of the floor sweeping robot at the next moment, and driving the floor sweeping robot to avoid the obstacles. The floor sweeping robot has the advantages of relatively more accurate obstacle avoidance targets and better obstacle avoidance effect.

Description

technical field [0001] The invention relates to the technical field of sweeping robots, in particular to a sweeping robot, an obstacle avoidance method, and a readable storage medium. Background technique [0002] The sweeping robot, also known as the lazy sweeper, is a smart household appliance that can automatically vacuum the ground. With a certain amount of artificial intelligence, it can automatically complete floor cleaning, vacuuming and mopping in the room, absorb the debris on the ground into its own garbage storage box, and complete the function of floor cleaning. Due to poor obstacle avoidance during the working process, the sweeping robot often bumps into obstacles, damaging the furniture and the appearance of the sweeping robot. [0003] Existing sweeping robots often detect obstacles through infrared sensing or ultrasonic bionic technology, avoid obstacles, and clean up garbage by sucking, sweeping, or wiping. Infrared has a long transmission distance, but it...

AI Technical Summary

Problems solved by technology

Infrared rays have a long transmission distance, but they have very high requirements for the use environment. When encountering light-colored or dark-colored household items, it cannot reflect back and cannot effectively avoid obstacles, which will cause collisions between the machine and household items; and the use of infrared The detection can only make the robot know that there are obstacles in front of it, but it can

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