Lawn Mower Robot Beacon Tracking for Dynamic Area Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing lawn mower robots face limitations in accurately recognizing and adapting to changes in their travel area due to movable beacons in outdoor environments, leading to inaccuracies in position recognition and stability of operation.
Innovation Solution
A lawn mower robot system that includes a main body, a driving unit, a receiver, and a controller, which uses signal transmission elements like UWB and GPS signals to detect position changes and update an area map, ensuring accurate and stable navigation within designated boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beacons are installed at boundary portions of travel area to enable position recognition, then position recognition capability is improved, but position recognition accuracy deteriorates when beacons move due to outdoor environmental factors
Solution Approach 1:
The patent applies the Dynamics principle by enabling the area map to dynamically update when beacon positions change. The system detects beacon position changes through signal transmission and reception, and automatically updates the stored area map to reflect current beacon locations. This transforms the static area map into a dynamic one that adapts to environmental changes, resolving the contradiction between initial position recognition capability and ongoing position recognition accuracy.
Solution Approach 2:
The patent implements the Feedback principle by creating a closed-loop system where the robot continuously receives signals from beacons, detects position changes, updates the area map, and uses the updated map for navigation. This feedback mechanism ensures that position recognition accuracy is maintained even when beacons move due to outdoor environmental factors like wind or terrain changes.
2Device complexity
If beacons are fixed at specific positions to generate area map, then area map generation is simplified, but position recognition becomes inaccurate when beacons relocate
Solution Approach 1:
The system transitions from a static area map generation approach to a dynamic one. While the initial area map generation remains simple based on fixed beacon positions, the system continuously monitors beacon positions and updates the area map when changes are detected. This dynamic approach maintains both simplicity in initial setup and accuracy during operation.
Solution Approach 2:
The patent applies the Preliminary action principle by pre-storing the area map based on initial beacon positions, then preparing the system to detect and respond to beacon movements. The robot is equipped with signal reception capabilities and update mechanisms before actual operation begins, enabling it to quickly adapt when beacons relocate without requiring complete re-mapping procedures.
3Area of stationary object
If multiple beacons are distributed in travel area for position determination, then position recognition coverage is improved, but system complexity increases
Solution Approach 1:
The patent applies the Segmentation principle by dividing the travel area into multiple zones, each monitored by individual beacons. This allows the system to maintain comprehensive coverage while managing complexity through modular beacon units. Each beacon independently transmits signals and can be individually tracked, making the overall system more manageable despite the distributed nature of multiple beacons.
Data Source
Figure 1A~1B
Figure 1C~1D
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.