Mobile Robot Boundary Mapping Using Beacon-Map Alignment
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Solution Overview
Problem
Existing mobile robot systems face limitations in accurately and conveniently setting boundary regions, particularly outdoors, due to reliance on beacon installations with variable communication performance, leading to potential inaccuracies and reduced usability, safety, and reliability.
Innovation Solution
A method involving the generation of first map data from transmitter signals and matching it with second map data from a communication target element to create precise boundary information, using coordinate alignment and adjustment techniques to ensure accurate boundary setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If boundary region is set by installing beacons at boundary portions, then position recognition is improved, but boundary setting accuracy is limited by beacon communication performance
Solution Approach 1:
The patent introduces a boundary setting request as an intermediary mechanism between the user and the beacon system. The request includes desired boundary information that mediates between user intent and actual beacon placement, allowing adjustment of boundary settings based on communication performance constraints.
Solution Approach 2:
The system implements feedback by transmitting beacon information back to the mobile robot and comparing it with the desired boundary information from the request. This feedback loop allows the robot to adjust its position and the boundary setting process to compensate for communication limitations.
2Measurement precision
If beacons are installed at boundary portions for position determination, then driving region recognition is improved, but boundary setting convenience is reduced
Solution Approach 1:
The mobile robot performs self-service by autonomously determining its position relative to beacons and automatically adjusting boundary settings. The robot independently processes boundary setting requests, determines beacon positions, and modifies boundary information without requiring manual intervention for each adjustment.
Solution Approach 2:
The boundary setting process is made dynamic through the mobile robot's ability to move and adjust its position based on beacon communication. The boundary information can be dynamically modified during the setting process rather than requiring fixed pre-installation of beacons at precise locations.
3Measurement precision
If boundary region is set based on beacon installation state, then position determination is achieved, but usability is limited
Solution Approach 1:
The system changes parameters by allowing adjustment of boundary information based on communication performance. The boundary setting request can specify different boundary parameters, and the system adapts the actual boundary settings by modifying position coordinates and other parameters to match communication capabilities.
Solution Approach 2:
The boundary setting system becomes adaptive and versatile through dynamic adjustment capabilities. The mobile robot can modify boundary information in real-time based on communication performance, making the system adaptable to different installation scenarios and performance requirements.
Data Source
Figure 1A~1B
Figure 2
Figure 3A~3B
AI summary
The present specification relates to a mobile robot system and a method for generating boundary information of the mobile robot system, wherein the mobile robot system generates first map data for the locations of a plurality of transmitters installed in a driving area on the basis of the result of receiving the transmission signals from the plurality of transmitters, receives second map data for an area corresponding to the driving area from a communication target means in which map information of an area including the driving area is stored, and matches the first map data and the second map data to generate boundary information about a boundary area of the driving area.