Lawn Mower Robot Beacon Position Updating for Stable Navigation
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Solution Overview
Problem
Existing lawn mower robots face inaccuracies in position recognition and stability due to changes in the location of signal transmission elements, such as beacons, in outdoor environments, leading to unreliable and inefficient operation.
Innovation Solution
A lawn mower robot system and control method that detects and updates the position of signal transmission elements by comparing the received signals with previous reception history, allowing for accurate position recognition and control even when the signal transmission elements change position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beacons are installed at boundary portions of travel area for position recognition, then position recognition accuracy is improved, but position recognition becomes inaccurate when beacon locations change due to outdoor environmental factors
Solution Approach 1:
The patent applies the dynamics principle by enabling the robot to adapt to changing beacon positions in real-time. The robot detects beacon positions through signal reception, compares them with stored position information, and updates its internal map dynamically. This allows the system to maintain accurate position recognition even when beacons move due to outdoor environmental factors like wind or terrain changes.
Solution Approach 2:
The patent implements feedback by continuously monitoring beacon signal positions and comparing them with previously stored position data. When discrepancies are detected, the system generates correction information and updates its internal representation of the travel area. This closed-loop feedback mechanism ensures that position recognition remains accurate despite changes in beacon locations.
2Ease of operation
If wire is buried in lawn-planted area to set travel area boundary, then boundary recognition is simplified and traveling is easier, but position recognition and traveling accuracy deteriorates in wide travel areas
Solution Approach 1:
The patent merges two positioning approaches: the wire-based boundary detection system and the beacon-based position recognition system. The robot uses the wire to understand the general travel area boundary while simultaneously using multiple beacons distributed throughout the area for precise position recognition. This combination allows the system to maintain both ease of operation and high positioning accuracy in wide travel areas.
Solution Approach 2:
The patent transitions from two-dimensional wire-based boundary detection to three-dimensional spatial positioning using multiple beacons distributed at different locations. By incorporating vertical distribution of beacons and using signal strength variations, the system adds dimensional information that enables accurate position recognition across large travel areas while maintaining the simplicity of wire-based boundary definition.
Data Source
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Figure 2
AI summary
The present disclosure relates to a lawn mower robot, a lawn mower robot system, and a control method of the lawn mower robot system, whereby a position change of a signal transmission element is detected based on a result of receiving a signal transmitted from the signal transmission element, and a present position of the signal transmission element is reflected in an area map.