Control method and system for mobile robot to identify working scene

Abstract

The invention discloses a control method and system for a mobile robot to recognize a working scene. The control method comprises the following steps that: S1, the robot obtains an environment image of a working environment through a camera; S2, the robot processes the environment image, and then obtains the number of people in the working environment through an auxiliary device; S3, if the numberof people is smaller than a preset number value, the method enters the step S1, and if the number of people is larger than or equal to the preset number value, the method enters the step S4; and S4,the robot performs behavior judgment and performs corresponding actions according to a behavior judgment result. The robot determines whether the working environment is a scene suitable for the robotto work or not by determining the number of people in the working environment through the camera and the auxiliary device, and therefore, when the robot sweeps, no person blocks the swept ground, thesweeping efficiency of the robot is improved; and a user cannot be disturbed by the robot, and the use experience of the user is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent robots, in particular to a control method and system for identifying work scenes by a mobile robot. Background technique [0002] Mobile robots have become more and more common in our lives, and have been used to replace some repetitive labor in many industries, such as automatic cleaning robots in hotel lobbies, automatic disinfection robots in airports, etc. These types of robots generally use fixed time cleaning, and some can be set to work at night when there is no one. However, some types of robots cannot operate at night due to noise, so they need to work during the day, such as cleaning robots working in hotels. These robots will be equipped with many sensors to detect obstacles and avoid them, but they cannot recognize whether the current work scene is suitable for work. For example, a hotel suddenly arrives with a tour group, and many people will gather for a period of time to regist...

AI Technical Summary

Problems solved by technology

These robots will be equipped with many sensors to detect obstacles and avoid them, but they cannot recognize whether the current work scene is suitable for work. For example, a hotel suddenly arrives with a tour group, and many people will gather for a period of time to register. Check-in, if the robot cleans at this time, the robot will only treat the guest as an obstacle. At this time, not only the cleaning efficiency is low, but the robot will also affect the guest's activities

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