Autonomous Robot Boundary Mapping with Initial Map Correction
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Solution Overview
Problem
Existing map creation methods for autonomous robots are inefficient and lack precision, often requiring manual delineation of operation areas and obstacle distributions, which can be time-consuming and imprecise.
Innovation Solution
A method involving acquiring an initial map from a target database, performing boundary detection by the robot to achieve a measured boundary with high precision, and correcting the initial boundary using the measured boundary to enhance map precision and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual delineation of operation area and obstacle distribution is used, then map creating can be performed without initial map data, but map creating efficiency and precision are reduced
Solution Approach 1:
The system performs preliminary actions by acquiring an initial map from a target database before the robot performs boundary detection. This preliminary map provides a pre-established boundary that guides the robot's detection process, eliminating the need for manual delineation while ensuring high precision through automated correction of the initial boundary using detection data.
2Loss of time
If manual drawing of obstacle distribution is performed, then no initial map data is required, but time consumption increases
Solution Approach 1:
The system replaces the mechanical manual drawing process with an automated electronic system. The robot uses its detection apparatus to automatically detect boundaries and obstacles, substituting human manual operations with automated sensing and processing, thereby reducing time loss while maintaining or improving precision.
3Measurement precision
If automated boundary detection is performed by the robot, then map creating precision is improved, but device complexity increases
Solution Approach 1:
The robot system performs multiple functions using a unified detection framework. The same detection apparatus and processing system used for boundary detection are also employed for obstacle detection and localization, reducing overall device complexity while maintaining high precision through multi-functional use of the detection system.
Data Source
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.