Robot Positioning Module Selection Using RSSI Difference and AOA
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Solution Overview
Problem
Existing robot positioning systems rely on depth cameras or single positioning modules, which are inadequate for achieving high precision and accuracy in determining positional relationships with target devices.
Innovation Solution
A method utilizing multiple sets of positioning modules with directional antennas that maintain interactive connections, where the target positioning module is determined based on the largest RSSI difference and AOA measurement range, allowing for improved accuracy in determining the relative positional relationship between the robot and the target device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single positioning module or depth camera is used, then the device complexity is reduced, but the positioning precision deteriorates
Solution Approach 1:
The positioning system is segmented into multiple independent positioning modules (at least three) distributed at different positions on the robot. Each module independently measures positioning parameters (AOA, RSSI) and the system selects the module with the best measurement quality, dividing the complex positioning task into manageable independent units that improve overall precision without requiring a single complex system
Solution Approach 2:
Each positioning module is designed with multi-functionality, capable of performing both AOA measurement and RSSI measurement. This universal design allows any module to serve as the primary positioning module depending on measurement quality, reducing the need for specialized hardware for different functions and simplifying the overall system architecture while maintaining high precision
2Measurement precision
If multiple sets of positioning modules are deployed, then the positioning accuracy is improved, but the manufacturing cost increases
Solution Approach 1:
The system deploys multiple positioning modules (excessive action) but only utilizes the data from the single best-performing module for final positioning (partial action). This approach ensures high positioning accuracy by having redundant modules available while avoiding the full cost of utilizing all modules simultaneously, as the system selectively uses only the most accurate measurements
Solution Approach 2:
The positioning modules are designed as relatively simple, standardized units that can be manufactured at lower cost. Rather than using a single expensive high-precision module, the system uses multiple simpler modules where the best performance is selected, effectively replacing one expensive component with multiple affordable ones while achieving superior overall accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances positioning accuracy and reduces setup costs by selecting the most accurate positioning module for the robot, ensuring precise robot-target device alignment.
Implementation Method 1
The positioning module is provided with a directional antenna, and maintains an interactive connection with a target device based on a positioning parameter
Data Source
AI summary
The present disclosure provides a positioning method and device, a robot, and a readable storage medium. The method includes: acquiring a positioning parameter collected by each positioning module and an RSSI difference between positioning modules in each set, and determining a target positioning module based on positioning parameters collected by a set of positioning modules with a largest RSSI difference, to determine a relative positional relationship between the robot and a target device.