AI Robot Position Recovery Using Locating Posts in Large Spaces
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Solution Overview
Problem
In complex spaces, robots often struggle to ascertain their position, leading to labor-intensive remote control challenges when multiple robots need to be managed, especially in large areas where independent control is difficult.
Innovation Solution
A robot using artificial intelligence separately stores entrance-allowable and unallowable areas as a map, outputs and selects locating posts for position restoration, and moves to these posts using external force or image comparison, allowing for user-controlled movement and position redefinition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If robots are deployed in large-scale spaces to provide information or convenience, then the service coverage and utility are improved, but the difficulty of position ascertainment and control increases
Solution Approach 1:
The system pre-defines multiple candidate position restoration locations throughout the large-scale space before the robot encounters position loss. When position ascertainment fails, the robot can immediately navigate to one of these pre-planned locations rather than requiring complex real-time calculation or remote control intervention, thus maintaining ease of operation even in large areas.
Solution Approach 2:
The patent introduces position restoration locations as intermediary points between the robot and its operational destinations. These intermediary locations serve as checkpoint anchors that the robot can reliably return to when position information is lost, simplifying the control problem by breaking down the large space into manageable segments with known reference points.
2Measurement precision
If robots store detailed space information and route data to ascertain position, then position accuracy is improved, but the device complexity and storage requirements increase
Solution Approach 1:
The system extracts only the essential position restoration locations from the complete space map, rather than storing and processing all detailed spatial information. This extraction approach maintains position ascertainment accuracy by identifying key anchor points while significantly reducing the complexity of the information storage system.
Solution Approach 2:
Instead of uniformly distributing detailed information throughout the entire space map, the system applies local quality by concentrating position restoration data at specific strategic locations. Each location has the specialized quality of being a position restoration point, while other areas maintain standard map information, thus reducing overall storage requirements while preserving necessary accuracy.
3Adaptability or versatility
If multiple robots operate in complicated spaces without position restoration capability, then operational flexibility is improved, but labor requirements for remote control increase
Solution Approach 1:
The robot equips itself with autonomous position restoration capability by navigating to pre-defined locations when position loss is detected. This self-service mechanism eliminates the need for external remote control intervention or additional human labor to recover lost robots, while maintaining operational flexibility across multiple units.
Solution Approach 2:
Position restoration locations are pre-planned and stored in the robot's navigation system before deployment. This preliminary action enables multiple robots to independently recover from position loss without requiring real-time human intervention, thus reducing labor requirements while preserving the ability to operate flexibly in complicated spaces.
Data Source
AI summary
A method and a robot of redefining a position of a robot using artificial intelligence are disclosed, and the robot that redefines a position using artificial intelligence separately stores an entrance-allowable area and an entrance-unallowable area in a space in which the robot moves as a map and stores locating posts that are required for the robot to restore a position thereof.