Cell-Based Robot Positioning With Heterogeneous Location Mechanisms
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Solution Overview
Problem
Current GPS systems have low precision for robots operating in outdoor regions, leading to failures in performing tasks such as delivery, guidance, and security due to inaccurate position information.
Innovation Solution
A method involving a robot or cloud server that subdivides the operating space into cells and uses optimized position information acquisition mechanisms for each cell, incorporating sensors, memory, and controllers to generate precise position information by selecting the appropriate mechanism based on cell-specific data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used to acquire position information in outdoor regions, then the robot can operate in large outdoor spaces, but the position information precision is low
Solution Approach 1:
The patent divides the outdoor operating space into multiple cells, with each cell having its own optimized position information acquisition mechanism. This segmentation allows the system to use different mechanisms (GPS, Wi-Fi, mobile communication, sensors) for different cells, thereby achieving high precision positioning while maintaining adaptability across large outdoor regions.
Solution Approach 2:
The patent applies different position information acquisition mechanisms to different cells based on local characteristics. Each cell is configured with the most suitable mechanism for its specific environment, allowing the system to achieve high precision positioning in each local area while maintaining overall system adaptability across the entire outdoor region.
2Measurement precision
If a single position information acquisition mechanism is used throughout the operating space, then the system is simple to implement, but the position information precision varies across different areas
Solution Approach 1:
The patent creates a universal position information acquisition system that can select and switch between multiple mechanisms (GPS, Wi-Fi, mobile communication, sensors) based on the current cell. This multi-functional approach allows the system to maintain high precision across different areas while managing complexity through a unified selection mechanism.
Solution Approach 2:
The patent implements a dynamic position information acquisition system where the mechanism selection changes based on the robot's current cell location. The system dynamically switches between different acquisition mechanisms according to the operational requirements of each cell, thereby maintaining high precision while adapting to varying environmental conditions.
3Measurement precision
If multiple position information acquisition mechanisms are deployed for different cells, then the position information precision is improved, but the system complexity increases
Solution Approach 1:
The patent implements a self-service position information acquisition system where the robot automatically determines its current cell and selects the appropriate acquisition mechanism without external intervention. The system autonomously manages the complexity of multiple mechanisms by implementing automatic mechanism selection based on cell location, thereby maintaining ease of operation while achieving high precision positioning.
Data Source
AI summary
A robot and/or a computer system may be used to generate position information of the robot operating in an operating space that is subdivided into a plurality of cells. The robot includes a sensor configured to acquire data related to the operating space. A memory of the robot and/or the computer server may store information regarding at least two of the cells and an indicator of a position information acquisition technique used to generate position information of the robot in a cell. The controller may be configured to acquire information related to a cell that the robot is positioned in and generate the position information of the robot based on the position information acquisition technique, the sensor data, and the cell information.