Mobile Robot Boundary Generation from Transmitter and Area Map Matching
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Solution Overview
Problem
Existing mobile robot systems face limitations in accurately and conveniently setting boundary regions, leading to usability, safety, and reliability issues due to reliance on beacon installations and communication performance.
Innovation Solution
A method involving the generation of boundary information by matching first map data from transmitter positions with second map data from a communication target element, using coordinate information to align and generate precise boundary information for the driving region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If boundary region is set by installing beacons and using signal transmission/reception, then position recognition accuracy is improved, but device complexity and installation convenience deteriorate
Solution Approach 1:
The patent uses map data (a digital copy of the physical environment) to represent and define the boundary region, replacing the need for physical beacons. The map data contains coordinate information that replicates the spatial layout, allowing the mobile robot to recognize boundaries through data processing rather than physical signal transmission.
Solution Approach 2:
The patent replaces the mechanical/physical beacon installation system with an information-processing approach using map data. Instead of relying on physical transmitters and signal reception hardware, the system uses coordinate matching and data processing to establish boundaries, significantly reducing device complexity.
2Measurement precision
If boundary region is set by beacon installation, then position determination is achieved, but ease of operation deteriorates due to limited flexibility
Solution Approach 1:
The patent enables dynamic and flexible boundary setting by allowing users to freely define boundary regions based on map data without being constrained by fixed beacon locations. The boundary can be adjusted and modified through coordinate information in the map data, providing adaptability and ease of operation.
Solution Approach 2:
The map data serves multiple functions: it provides position information, defines boundary regions, and enables flexible reconfiguration of driving areas. This universal data structure replaces the single-function beacon system, allowing the same data to support various operational requirements.
3Measurement precision
If multiple beacons are distributed at boundary portions for accurate position recognition, then measurement precision is improved, but loss of time increases due to communication requirements
Solution Approach 1:
The map data is prepared in advance with coordinate information already embedded, eliminating the need for real-time communication and beacon installation during boundary setting. The spatial relationships are pre-calculated and stored, allowing rapid boundary definition without time-consuming signal transmission and reception processes.
Data Source
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.