Robot Warehouse Mapping Using Rack Mark Position Detection
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Solution Overview
Problem
The current methods for creating warehouse maps in logistics systems are time-consuming, manpower-intensive, and resource-intensive due to the manual mapping of tens of thousands of storage locations, which slows down robot deployment and increases the risk of errors.
Innovation Solution
A method and system that uses a robot equipped with inductive sensors and image collection sensors to generate a warehouse map by determining the position of marks on racks, allowing for automatic creation of the warehousing map, reducing manual intervention and accelerating the mapping process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mapping of depositary places is used to create warehouse maps, then positioning accuracy can be achieved, but the process becomes time-consuming and manpower-intensive
Solution Approach 1:
The patent replaces the manual mechanical mapping process with an automated vision-based system. Image collection sensors capture images of depositary places, and image processing algorithms automatically identify and locate them on the robot map, eliminating the need for manual marking and mapping of tens of thousands of depositary places while maintaining positioning accuracy
Solution Approach 2:
The patent uses image collection to create a visual copy of the warehouse environment. By capturing images with sensors and processing them to extract depositary place information, the system creates a digital representation of the physical warehouse layout, enabling automated map creation without manual intervention
2Reliability
If manual marking of depositary places on robot maps is performed, then accurate warehouse maps can be created, but deployment speed of robots is reduced
Solution Approach 1:
The patent replaces manual marking operations with automated image processing. The system uses image collection sensors to capture depositary place information and automatically processes these images to mark depositary places on robot maps, significantly accelerating the deployment process while maintaining map accuracy
Solution Approach 2:
The system enables self-service mapping where the robot autonomously collects images of depositary places, processes them through image processing algorithms, and automatically updates its warehouse map without requiring human operators to manually mark each depositary place, thereby speeding up deployment
3Quantity of substance
If traditional mapping methods are used for warehouses with tens of thousands of depositary places, then complete coverage is achieved, but resource consumption increases
Solution Approach 1:
The patent replaces manual mapping resources with automated vision systems. Image collection sensors and image processing algorithms automatically identify and map all depositary places in the warehouse, eliminating the need for large teams of workers to manually visit and mark each location, thereby reducing resource consumption while achieving complete coverage
Solution Approach 2:
The image collection sensors and processing system serve multiple functions: they capture depositary place locations, identify rack structures, and generate warehouse maps automatically. This multi-functional approach eliminates the need for separate manual operations for each mapping task, reducing overall resource requirements
Data Source
AI summary
Provided are a method for rapidly determining a warehousing map, a device, a storage medium and a robot. The method includes: generating a warehouse map of a warehouse; acquiring a motion position and pose of the robot, and acquiring information of a mark on a rack collected by an image collection sensor on the robot; determining a mark position of the mark; determining a rack position of the rack and a depositary place position of each depositary place on the rack; and determining a warehousing map of the warehouse. The method can rapidly create the warehousing map in the warehouse, and position accuracy of the depositary place in the warehousing map is high.