Robot working area map construction method, device, robot and medium

Abstract

Embodiments of the present disclosure provide a method, device, robot, and medium for constructing a robot work area map, wherein the method includes: scanning obstacles in the driving path in real time, and recording the position parameters of the obstacles; Image information of the obstacle in the path; determining the obstacle based on the reference information of the working area according to the position parameter and the image information; dividing the working area into a plurality of sub-areas based on the reference information . In the present disclosure, the recognition accuracy rate of the room door is greatly improved through the dual insurance method of radar scanning and camera shooting, and the confusion of room division caused by the wrong recognition of the door is avoided.

Description

technical field [0001] The present disclosure relates to the field of control technology, and in particular, to a method, device, robot and medium for constructing a map of a robot work area. Background technique [0002] With the development of technology, a variety of intelligent robots have appeared, such as sweeping robots, mopping robots, vacuum cleaners, lawn mowers, etc. These robots can receive voice commands input by users through a voice recognition system to perform operations indicated by the voice commands, which not only liberates labor, but also saves labor costs. [0003] Existing sweeping robots use inertial navigation, lidar or cameras for map planning and navigation. When users sweep the floor with the sweeping robot, they will see the cleaning area division in real time on the mobile device. However, such cleaning area division is not a room unit type. Division, the cleaning area is arbitrarily divided into a plurality of areas based only on the coordina...

AI Technical Summary

Problems solved by technology

In some specific situations, for example, the living room area of ​​the home is an area that is often walked around. When the user wants to set the robot to clean the living room area, the above-mentioned existing natural division method will bring trouble to the user, because the map It is formed in real time, and it is difficult for the user to let the robot go directly to the area to be cleaned during the next cleaning

[0005] The existing map formation method cannot effectively divide the room, and the user cannot accurately designate a specific cleaning room. For example, the living room is a frequently active area with a lot of dust, and the user cannot clearly and accurately instruct the sweeping robot to go to the living room to clean the living room. clean the whole area

The current technology can only support the robot to reach the living room area, but it cannot guarantee that it will clean the entire area of ​​the living room after arriving

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