Home cleaning robot control system based on adaptive strategy optimization

Abstract

The invention discloses a home cleaning robot control system based on adaptive strategy optimization. The home cleaning robot control system comprises a sensing system, a control system, a cleaning system, a driving system and an electric power system, wherein the sensing system collects environment information and electric power system information and transmits the environment information and electric power system information to the control system; the control system processes the collected information through an adaptive strategy control method according to the collected information, and transfers control signals to the driving system and the cleaning system. The home cleaning robot control system processes environment information obtained from a self-sensing system by adopting an adaptive strategy optimization method in the control system of a cleaning robot, then selects appropriate action, and transfers control signals of the control system to the driving system and the cleaning system through the sensing system, so as to ensure that the cleaning robot executes corresponding action to clean home environment.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and control technology, and in particular relates to a control system for a household cleaning robot based on adaptive strategy optimization, which can perform self-learning and complete the control of the household cleaning robot. Background technique [0002] Over the years, there has been growing interest in the study of autonomous robots. Autonomous robots have broad application prospects, such as household cleaning robots. With the improvement of living standards, more and more families begin to rely on smart home cleaning robots to be responsible for the cleaning of the home environment, to reduce manual cleaning work and bring convenience to family life. However, because general intelligent household cleaning robots can only perform simple cleaning tasks for trained environments, this limitation limits the application of household cleaning robots to thousands of households, and it is...

AI Technical Summary

Problems solved by technology

[0003] Existing control methods for household cleaning robots use a simple, non-self-learning control method

Home robots using this control strategy cannot autonomously adapt to different home environments and home environments that change over time

In the daily cleaning process, various cleaning operations can only be simply repeated, and it is impossible to judge which areas have been cleaned and which areas need to be cleaned

Therefore, it will consume a lot of time and electric energy to perform repeated cleaning operations in repeated areas, which will directly lead to problems such as prolonging the cleaning time and reducing the cleanliness. service life

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