Autonomous Robot Boundary Detection for Precise Map Correction
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Solution Overview
Problem
Current methods for creating maps for autonomous robots are labor-intensive and inefficient, with manual delineation of operation areas and obstacle distributions, and commercial map software often fails to meet precision requirements.
Innovation Solution
A map creating method and apparatus for autonomous robots that involves acquiring an initial map from a target database, performing boundary detection using sensors to obtain a measured boundary, and correcting the initial boundary to enhance precision and efficiency, allowing the robot to autonomously optimize its operation area map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual map creation methods are used (user operates drawing device to traverse boundary and manually draw obstacle distribution), then the map can be created for autonomous robot operation, but the process is labor-intensive and inefficient
Solution Approach 1:
The autonomous robot performs boundary detection and map creation autonomously using its onboard sensors and positioning systems. The robot automatically traverses the boundary, detects features, and generates the operation area map without human intervention, transforming a manual task into an automated self-service process
Solution Approach 2:
The patent replaces manual mechanical drawing operations with automated sensor-based detection systems. The robot uses positioning devices, detection devices, and processing units to automatically capture boundary coordinates and generate digital maps, substituting mechanical manual labor with electronic automation
2Productivity
If commercial map software is used to manually delineate operation area and obstacle distribution, then labor intensity is reduced and efficiency is improved, but the precision of the created map is insufficient
Solution Approach 1:
The map creation process is divided into distinct functional modules: positioning module for accurate location determination, detection module for boundary and feature identification, and processing module for map generation. This segmentation allows each module to be optimized independently, achieving both high efficiency and high precision
Solution Approach 2:
The system incorporates feedback mechanisms where the robot continuously monitors its position using positioning devices, compares detected boundaries with the generated map, and refines the map data accordingly. This iterative feedback process ensures high precision while maintaining automated efficiency
Data Source
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AI summary
Embodiments of this specification provide a map creating method and apparatus for an autonomous robot, a device, and a storage medium. The map creating method for an autonomous robot includes: acquiring an initial map selected from a target database, wherein the initial map includes an initial boundary; causing the autonomous robot to perform boundary detection to acquire a measured boundary, wherein positioning precision of the autonomous robot satisfies a preset condition; and correcting the initial boundary according to the measured boundary. The embodiments of this specification can improve map creating precision and map creating efficiency of the autonomous robot.