Mobile Robot Spatial Positioning Through Planned Base Station Placement
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Solution Overview
Problem
Conventional indoor positioning technologies, such as GPS and electronic compasses, suffer from poor signal strength due to interference and blocking, leading to inaccurate positioning in indoor spaces.
Innovation Solution
A spatial positioning method that involves dividing an activity space into regions, selecting base station candidate positions based on connection states with a mobile robot, and disposing base stations at optimal positions to ensure reliable wireless connection for accurate positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional positioning technologies (GPS, electronic compasses) are used in indoor spaces, then the positioning system can be implemented, but the signal strength becomes poor due to interference and blocking, resulting in inaccurate positioning
Solution Approach 1:
The patent divides the indoor activity space into multiple activity regions and selects multiple base station candidate positions. By segmenting the space and distributing multiple base stations throughout the area, the system overcomes signal blocking and interference that plague single-point or conventional positioning systems, ensuring reliable wireless connection and accurate positioning throughout the indoor environment.
2Measurement precision
If base stations are disposed at arbitrary positions, then the deployment process is simple, but the connection state between base stations and mobile robot cannot be optimized, leading to poor positioning performance
Solution Approach 1:
The patent performs preliminary actions by pre-dividing the activity space into multiple regions and pre-selecting multiple base station candidate positions before actual deployment. This preliminary planning enables the system to predict connection states and optimize base station positions in advance, ensuring that when base stations are deployed, they are positioned to maximize connection reliability and positioning precision throughout the activity space.
Solution Approach 2:
The patent establishes a feedback mechanism where the mobile robot's movement through different activity regions provides information about connection states. This feedback is used to evaluate and select optimal base station positions, creating a closed-loop system that continuously optimizes positioning performance based on actual robot behavior and signal conditions.
Data Source
AI summary
A spatial positioning method is provided. The method includes steps of: dividing an activity space into a plurality of activity regions; selecting a plurality of positions in the activity space or within a distance range of the activity space as a plurality of base station candidate positions; predicting connection states between the plurality of base stations that are disposed respectively at the plurality of station candidate positions and a mobile robot moving to each of the plurality of activity regions; selecting some of the base station candidate positions as a plurality of base station positions according to the connection states; disposing the plurality of base stations respectively at the plurality of base station positions; and wirelessly connecting the mobile robot respectively moving to the plurality of activity regions to some of the plurality of base stations to position the mobile robot.