Area partitioning method, partition cleaning method and robot thereof
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Solution Overview
Problem
Existing area partitioning strategies for robots exploring unknown environments are not reasonable, leading to inefficiencies such as overlapping areas and repeated work, resulting in low overall working efficiency.
Innovation Solution
An area partitioning method that determines candidate directions in a preset priority order, creates new partitions when conditions are met, and ends partitioning when no suitable directions are found, along with a partition cleaning method that executes cleaning work in a preset mode in initial and new partitions until area partitioning is complete.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot uses existing area partitioning strategy to complete work tasks during environment exploration, then the robot can execute work tasks, but the partition construction is unreasonable leading to overlapping areas and repeated work, resulting in low working efficiency
Solution Approach 1:
The patent divides the environment into multiple partitions with clear boundaries, where each partition is defined by boundary lines connecting obstacle points. The segmentation ensures that each area is uniquely identified and processed only once, eliminating overlaps and repeated work while maintaining systematic coverage of the entire environment.
2Reliability
If the robot explores unknown environment using SLAM method, then the robot can build environment map, but it takes relatively long time to complete the exploration task
Solution Approach 1:
The patent performs preliminary actions by identifying obstacle points and constructing boundary lines during the exploration process. The partitioning structure is prepared in advance based on detected obstacles, allowing the robot to systematically organize the environment map as it explores, reducing the time needed for complete mapping while maintaining accuracy.
3Ease of operation
If the robot executes work tasks based on area partitioning, then the work can be completed in each partition, but the existing partitioning strategy causes overlapping of multiple areas and repeated execution of work
Solution Approach 1:
The patent implements a feedback mechanism where the robot tracks which partitions have been processed and uses this information to determine the next partition to work on. The system monitors the completion status of each partition and guides the robot to unprocessed areas, preventing repeated work and ensuring efficient task execution across the entire environment.
Data Source
AI summary
An area partitioning method, a partition cleaning method and a robot are provided. The area partitioning method includes: sequentially determining, according to a preset priority order, whether each of candidate directions of a current partition can satisfy a creation condition; creating, when one of the candidate directions satisfies the creation condition, a new partition in the candidate direction satisfying the creation condition; and ending area partitioning when none of the candidate directions satisfies the creation condition. The method can improve the working efficiency of the cleaning robot and avoid the occurrence of random cleaning, which leads to good use experience and has a good application prospect.