Shelf Queuing Layout for Deadlock-Free Robot Sorting
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Solution Overview
Problem
The existing robot-based goods-to-person systems face limitations in queuing zone capacity, leading to route deadlocks, inefficiencies in side-turning operations, and suboptimal space utilization in warehouses.
Innovation Solution
A shelf management method and system that dynamically estimates free space in queuing zones, optimizes shelf transportation routes, and allows for flexible rotation of shelves using mobile robots, thereby improving system efficiency and space utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed queuing zone is used in the robot-based goods-to-person system, then the system structure is simple and easy to implement, but the number of robots that can be accommodated is limited and route deadlocks occur
Solution Approach 1:
The patent transforms the fixed queuing zone into a dynamic virtual queuing zone that can be flexibly allocated across multiple physical locations including passages and stations. The virtual queuing zone is not fixed in space but can be dynamically assigned based on system state, allowing unlimited robot accommodation without physical expansion of dedicated queuing space.
Solution Approach 2:
The patent introduces a virtual dimension for the queuing zone, moving from a single fixed physical location to a multi-location virtual space. Robots can queue at various stations and passages simultaneously, effectively adding spatial dimensions to the queuing function and resolving the capacity limitation of fixed zones.
2Productivity
If robots queue on the passage when not accommodated in the fixed queuing zone, then the system can handle more robots, but the robots obstruct routes of other robots
Solution Approach 1:
The patent introduces a virtual queuing zone as an intermediary concept that decouples the physical passage from the queuing function. Instead of physically blocking passages, robots are assigned to virtual queue positions that may be located at stations or other non-obstructive locations, eliminating route obstruction while maintaining queue functionality.
Solution Approach 2:
The system dynamically assigns queuing locations based on real-time passage occupancy and robot positions. When passages are clear, robots can queue there; when occupied, robots queue at alternative locations, dynamically adapting to avoid obstruction while maintaining system capacity.
3Device complexity
If a fixed side-turning zone is used, then the system structure is simple, but it becomes a bottleneck of efficiency when multiple mobile robots need side-turning operation
Solution Approach 1:
The patent makes stations multi-functional by enabling them to serve both as operation stations and as side-turning zones. Any station can accommodate robots needing side-turning operations, transforming a specialized single-function zone into multiple universal zones, thereby eliminating the bottleneck while maintaining structural simplicity.
Solution Approach 2:
The patent distributes the side-turning function across multiple spatial locations (stations) rather than concentrating it in a single fixed zone. This spatial distribution adds dimensional flexibility to the side-turning operation, allowing parallel operations at multiple stations simultaneously.
4Ease of operation
If an arc path is used to enter the rotation zone, then robots can smoothly enter the zone, but a large margin between shelves is required which is not conducive to improving space utilization
Solution Approach 1:
The patent segments the rotation zone entry into discrete grid cells rather than requiring continuous arc paths. Robots can enter and rotate within individual cells or small groups of cells, eliminating the need for large clearances while maintaining operational smoothness through stepwise movement and rotation.
Solution Approach 2:
The system dynamically plans robot paths and rotation sequences to optimize space usage. Instead of fixed arc paths requiring static margins, the system adaptively routes robots through available grid cells, dynamically adjusting paths to minimize space requirements while ensuring smooth entry and rotation operations.
Data Source
AI summary
The present application provides a shelf management method and system, a sorting zone, and a stock sorting system. A shelf management system may include: a mobile robot, configured to transport a shelf; the shelf, configured to be provided with locations for placing commodities and be transportable by the mobile robot; a shelf zone, configured to store the shelf; a station and a station queuing zone, wherein the station is a worker operation position; and the station queuing zone is an area set near the worker operation position, where the mobile robot transporting the shelf queues and waits for a worker's operation; and a server, communicatively connected with the mobile robot and configured to execute a corresponding shelf management method.


