Transport Robot User Identification for Automatic Destination Routing
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Solution Overview
Problem
Existing transport robots require manual input of destination information, limiting their ability to transport objects to a user's specified location without explicit user input.
Innovation Solution
A method and system that acquire user and transport object information, identify the user, and determine the user's associated destination for the transport robot, enabling autonomous transportation of the object to the user's location without explicit input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of destination information is required, then the transport robot can accurately transport objects to specified locations, but the operation complexity and time consumption increase
Solution Approach 1:
The transport robot automatically identifies the user and determines the destination without manual input. The system uses user identification information (such as RFID tags, facial recognition, or mobile device data) to automatically query and determine the associated destination, eliminating the need for users to manually input destination information while maintaining accurate transportation to the correct location.
2Reliability
If manual destination input is required, then the transport system can handle specific delivery requirements, but the productivity and efficiency decrease
Solution Approach 1:
The system pre-establishes the association between users and their destinations in advance. User identification information is stored and linked to destination data beforehand, so when transportation is needed, the system only needs to identify the user and automatically retrieve the pre-stored destination information, significantly improving transportation efficiency while ensuring accurate delivery to the correct location.
3Extent of automation
If the system stores user information and destination associations, then autonomous transportation to user locations is enabled, but the system complexity increases
Solution Approach 1:
The system introduces an information management module that acts as an intermediary between user identification and destination determination. This module stores and manages the association between user identification information and destination data, allowing the transport robot to autonomously determine destinations by querying this intermediary database, thereby enabling automation without significantly increasing the complexity of the core transportation system.
Data Source
AI summary
A method for controlling a transport robot is provided. The method includes the steps of: acquiring, when a user makes a request for transport of a target object, information on the user and information on the transport of the target object including a delivery place of the target object; identifying the user on the basis of the information on the user, and determining a place associated with the user as a destination where a transport robot is to transport the target object from the delivery place, with reference to a result of the identification; and causing the target object to be transported to the destination by the transport robot.