Warehousing Robot Spacing Detection for Safe Goods Retrieval
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Solution Overview
Problem
Intelligent warehousing systems face issues with goods being damaged due to insufficient spacing between target goods and adjacent objects or stand columns, resulting from human errors or measurement errors, leading to economic losses.
Innovation Solution
A method and device for taking out and placing goods that involves detecting the spacing between target goods and adjacent objects before operation, using first and second state information to determine available spacing, and adjusting the carrying device accordingly to ensure safe storage or retrieval, utilizing a warehousing robot equipped with sensors and a carrying device like a telescopic arm or suction cup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the warehousing robot takes out goods directly according to task instructions without spacing detection, then the operation efficiency is high, but the safety is low due to potential damage from insufficient spacing
Solution Approach 1:
The system performs preliminary spacing detection and calculation before the warehousing robot executes the taking out operation. The warehouse management apparatus calculates the spacing between target goods and adjacent objects in advance, and only issues task instructions when the spacing meets safety requirements, preventing potential damage before it occurs.
Solution Approach 2:
The system implements a feedback mechanism where the warehouse management apparatus receives real-time position information of goods, calculates spacing dynamically, and adjusts task issuance accordingly. This closed-loop control ensures that operations are only authorized when spacing conditions are satisfied, balancing efficiency and safety.
2Quantity of substance
If the spacing between target goods and adjacent objects is too small due to measurement errors or human errors, then the storage density is high, but the harmful factors increase due to risk of damage to goods and infrastructure
Solution Approach 1:
The system applies preliminary anti-action by calculating and verifying spacing before operations occur. The warehouse management apparatus proactively identifies potential damage risks by computing distances between target goods and adjacent objects, and prevents operations that would result in harmful contact, thereby counteracting potential damage before it can occur.
Solution Approach 2:
The system replaces manual spacing assessment with automated computational geometry and distance calculation algorithms. The warehouse management apparatus uses coordinate information and mathematical computations to precisely determine spacing, eliminating human error and providing more accurate control over safety margins.
3Reliability
If the warehousing system performs spacing detection before operations, then the safety is improved, but the operation time increases due to additional detection steps
Solution Approach 1:
The system maintains continuous useful action by performing spacing calculations using real-time position data from the warehouse management system. The calculation process utilizes existing operational data and coordinates, enabling rapid computation that integrates seamlessly into the workflow without creating significant interruptions or delays.
Data Source
AI summary
Embodiments of the present application disclose a method and device for taking out and placing goods, a warehousing robot and a warehousing system. For the warehousing system based on a dynamic storage location storage mechanism, the method includes: moving, according to an operation instruction for target goods, to a target position, where the target position is a position corresponding to a dynamic goods storage space for the target goods; acquiring first state information and second state information, and determining, according to the first state information and the second state information, available spacing between the target goods and adjacent objects, where first state information is used for representing a spatial position feature of the target goods and the second state information is used for representing spatial position features of the adjacent objects; and taking out or storing, according to the available spacing, the target goods.