Robot Serving SLAM Using UWB Table Callers
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Solution Overview
Problem
Current autonomous driving robots face inefficiencies in Simultaneous Localization And Mapping (SLAM) due to excessive operation and data processing, requiring multiple sensing means for accurate results, which leads to increased operation errors and costs.
Innovation Solution
A serving system where external callers, equipped with Ultra Wide Band (UWB) sensors and magnetic sensors, provide distance and direction information to the robot, allowing it to perform SLAM by reducing the need for internal sensing and processing, thereby decreasing operation and data processing time and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the robot uses multiple sensing means (such as LiDAR) to perform SLAM, then the accuracy of location confirmation and map generation is improved, but the device complexity and operation processing time increase
Solution Approach 1:
The patent extracts the sensing function from the robot and relocates it to external fixed apparatuses (callers) positioned throughout the space. The robot no longer needs to carry multiple complex sensing means like LiDAR, as the external callers provide the sensing data back to the robot for SLAM operations.
Solution Approach 2:
The patent introduces external fixed callers as intermediary devices that mediate between the environment and the robot. These callers act as intermediaries by capturing spatial information and transmitting it to the robot, eliminating the need for the robot to directly sense the environment with multiple complex sensors.
2Measurement precision
If the robot uses multiple sensing means to perform SLAM, then the accuracy of location confirmation and map generation is improved, but the operation processing time increases
Solution Approach 1:
The external callers continuously capture and store spatial information in advance, preparing the data before the robot needs it. When the robot performs SLAM, it can immediately access pre-captured spatial data from multiple callers, significantly reducing the time required for processing compared to using onboard sensors that must capture and process data in real-time.
3Extent of automation
If the robot performs SLAM using onboard sensing means, then the autonomous driving capability is maintained, but the operation errors increase due to excessive data processing
Solution Approach 1:
The patent extracts the computationally intensive sensing and data processing functions from the robot's onboard systems and relocates them to external fixed callers. This reduces the robot's processing burden and minimizes operation errors while preserving autonomous driving capability, as the robot receives processed spatial data from the external callers.
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
This approach enables accurate and efficient SLAM for autonomous driving robots, reducing operation errors and costs while maintaining accurate location confirmation and map generation.
Implementation Method 1
The positioning sensor may be provided as an Ultra Wide Band (UWB) sensor
Implementation Method 2
a magnetic sensor for sensing whether it rotates and the rotational angle thereof
Data Source
AI summary
A serving system using a robot may include a caller mounted on each of a plurality of tables, and a robot driving to a target table among the plurality of tables based on information received from the caller. The robot may store information on the location of each of the plurality of callers, the size and shape of each of the plurality of tables, the location of the caller mounted on the table, and the rotational angle with respect to a baseline of the caller. The caller may transmit to the robot information on the distance from the caller to the robot and the direction of the robot with respect to the caller during driving of the robot. The robot may transmit and receive a wireless signal over a mobile communication network constructed according to 5G (Generation) communication.