Disinfection Robot Navigation With Grid-Based Mapping and Path Planning
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Solution Overview
Problem
Conventional disinfection robots require separate map building and disinfection processes, which are cumbersome and inefficient.
Innovation Solution
A navigation method for disinfection robots that integrates map construction and disinfection by generating a disinfection grid with consideration points, determining a disinfection order, and planning disinfection paths based on distance and priority levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate map building and disinfection processes are used, then map accuracy is improved, but disinfection efficiency deteriorates
Solution Approach 1:
The patent combines map building and disinfection execution into a single integrated process. The disinfection robot performs SLAM (Simultaneous Localization and Mapping) while simultaneously executing disinfection tasks, eliminating the need for separate mapping and disinfection phases. This merging allows the robot to build an initial map and identify disinfection targets concurrently, thereby improving disinfection efficiency without sacrificing map accuracy.
2Ease of manufacture
If manual control is used to build map, then map construction is completed, but operation complexity increases
Solution Approach 1:
The disinfection robot autonomously performs map building using SLAM technology without requiring manual control. The robot independently navigates the environment, constructs the initial map, identifies disinfection targets, and plans disinfection paths on its own. This self-service capability eliminates the need for operators to manually control the robot during mapping, significantly reducing operation complexity while completing map construction efficiently.
Data Source
AI summary
A navigation method for a disinfection robot includes: obtaining an initial map within a field of view of the robot; generating a disinfection grid having multiple disinfection squares on the initial map, and determining multiple disinfecting consideration points in the disinfection squares; determining a disinfection order of disinfecting targets corresponding to the disinfection squares according to distances between the robot after the robot completes disinfection of one of the targets corresponding to one of the disinfection squares and to-be-disinfected ones of the disinfection squares; according to distances between the position and the disinfecting consideration points in to-be-disinfected ones of the disinfection squares, combined with priority levels of the disinfecting consideration points in to-be-disinfected ones of the disinfection squares, determining disinfecting planning points in the disinfection squares; and performing disinfection to the targets corresponding to the disinfection squares according to the disinfection order and the disinfecting planning points.