Robot Boundary Mapping Using Actual Beacon Installation Positions
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Solution Overview
Problem
Existing moving robot systems face challenges in accurately and conveniently setting boundaries for their travel areas, leading to limitations in usability, safety, and reliability due to reliance on beacon installation and communication performance.
Innovation Solution
A moving robot system that uses a combination of transmission devices, a terminal, and a web server to generate boundary information by designating virtual positions of transmission devices on a map, reflecting actual installation positions to set accurate boundaries, allowing for quick and easy boundary setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beacons are installed at the boundary of the travel area to determine relative positions, then the position recognition of the robot is improved, but the boundary setting becomes limited by beacon installation state and communication performance
Solution Approach 1:
The patent creates a virtual copy of the physical boundary by generating boundary information from map data. Instead of relying on physical beacons to define the boundary, the system creates a digital representation of the boundary that can be freely adjusted and modified without changing physical infrastructure, thus achieving both accurate position recognition and flexible boundary setting.
Solution Approach 2:
The patent introduces map data as an intermediary between the physical environment and the robot's boundary recognition. The map data serves as a mediator that translates real-world geographical information into usable boundary information, allowing the robot to understand and navigate boundaries without direct reliance on beacon installation states.
2Reliability
If beacons are used to set the boundary area, then the travel area can be recognized, but the boundary may be formed incorrectly depending on communication performance of the beacons
Solution Approach 1:
The patent replaces the mechanical/physical beacon-based boundary setting system with an information-processing approach using map data. Instead of relying on physical beacon installation and communication signals to define boundaries, the system uses processed geographical information from maps to establish boundaries, eliminating communication performance limitations and reducing system complexity.
Solution Approach 2:
The patent performs preliminary processing of boundary information by pre-generating and storing map data that contains boundary information. This preliminary action allows the robot to receive ready-to-use boundary data without needing to process complex beacon signals in real-time, improving reliability and reducing operational complexity.
3Ease of manufacture
If the boundary is set only by installing beacons, then the setup process is simple, but the boundary setting accuracy according to user request is limited
Solution Approach 1:
The patent makes the map data system universal by using pre-existing geographical information that can represent any boundary shape or location. The same map data infrastructure can serve multiple purposes: defining travel boundaries, providing navigation references, and supporting various boundary configurations, all while maintaining high accuracy and user flexibility.
Data Source
AI summary
The present disclosure relates to a moving robot system and a method for generating boundary information of the moving robot system that generates boundary information based on actual installation positions of a plurality of transmission devices when the plurality of transmission devices is installed based on map data provided from a web server.