Artificial intelligence robot cleaner
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Solution Overview
Problem
Current robot cleaners lack the ability to determine if an area has been properly cleaned, leading to residual contaminants remaining, as they follow a predetermined route without assessing cleaning completion.
Innovation Solution
An artificial intelligence robot cleaner equipped with a driving unit, a cleaning unit, and a rear camera, along with a processor that uses images to determine if cleaning is complete and controls the units to perform recleaning if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the robot cleaner follows a predetermined moving route to perform cleaning, then the cleaning operation can be automated and executed systematically, but residual contaminants may remain because the system does not verify cleaning completion
Solution Approach 1:
The patent implements a feedback mechanism where the rear camera captures images of the cleaned area, and the processor analyzes these images to determine whether cleaning is complete. This closed-loop feedback system allows the robot to verify cleaning results and perform recleaning if contaminants remain, thus resolving the contradiction between automated operation and cleaning reliability
2Productivity
If the robot cleaner travels through the set moving route without considering cleaning completion, then the cleaning process is efficient and straightforward, but residual contaminants remain in areas where cleaning was not properly performed
Solution Approach 1:
The patent applies preliminary action by having the rear camera continuously capture images of the cleaned area during the robot's movement. This allows the system to identify areas requiring recleaning in advance before completing the full cleaning cycle, enabling quality improvement without significantly compromising overall cleaning efficiency
3Reliability
If the robot cleaner performs recleaning based on image analysis, then cleaning quality improves by removing residual contaminants, but the cleaning time and operational complexity increase
Solution Approach 1:
The patent implements partial action by performing recleaning only in specific areas where contaminants are detected through image analysis, rather than recleaning the entire cleaned area. This selective approach maintains high cleaning completeness while minimizing additional time consumption compared to comprehensive recleaning
Data Source
AI summary
An artificial intelligence robot cleaner is provided. The artificial intelligence robot cleaner includes a driving unit configured to drive the artificial intelligence robot cleaner, a cleaning unit configured to remove contaminant, a rear camera configured to photograph a rear area of the artificial intelligence robot cleaner, and a processor configured to determine whether cleaning of an already cleaned area is completed by using the image of the rear area of the artificial intelligence robot cleaner, and if the cleaning is not completed, control the driving unit and the cleaning unit to reclean the area where the cleaning is not completed.