Goods Rack Pose Correction Using Vision-Guided Movable Robots
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Solution Overview
Problem
Movable robots in smart warehouses often cause surrounding goods racks to shift during transportation, requiring manual correction by personnel due to the lack of efficient automated adjustment methods.
Innovation Solution
A method and apparatus that utilize a movable robot to acquire a goods rack identifier image, identify the current pose, determine shifts based on deviation thresholds, and generate a transport path for automatic adjustment to a preset pose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If movable robots transport goods racks in smart warehouses, then transportation efficiency is improved, but surrounding goods racks shift requiring manual correction
Solution Approach 1:
The system enables goods racks to self-correct their positions automatically. Image collection apparatus mounted on movable robots capture goods rack identifier images, the system identifies pose deviations, generates transport paths, and controls robots to adjust rack positions without human intervention, making the system self-servicing
Solution Approach 2:
The system implements a closed-loop feedback mechanism where image collection apparatus continuously monitor goods rack positions, the identification module detects deviations from preset poses, and the control system adjusts rack positions based on this feedback, eliminating the need for manual observation and correction
2Measurement precision
If manual observation and correction of shifted goods racks is performed, then pose accuracy is maintained, but operational time and costs increase
Solution Approach 1:
The system replaces manual mechanical observation and correction operations with an automated image-based detection and robot-controlled adjustment system. Image collection apparatus capture goods rack identifier images, computational algorithms identify pose deviations, and movable robots execute position corrections, substituting human labor with automated mechanical-optical systems
Solution Approach 2:
The system uses image collection apparatus to create visual copies (images) of goods rack identifiers and poses. These image copies are processed by identification modules to determine actual positions without physically touching or disrupting the goods racks, enabling non-contact measurement with high precision
Data Source
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AI summary
Disclosed in embodiments of the present disclosure are a method and apparatus for a movable robot to adjust the pose of a goods rack. A particular embodiment of the method comprises: acquiring a goods rack identifier image of a target goods rack, wherein the goods rack identifier image is an image obtained by an image collection apparatus photographing, with a preset collection attitude at a preset collection position, a goods rack identifier of the target goods rack; identifying a pose identifier of the target goods rack from the goods rack identifier image, and determining the current pose of the target goods rack on the basis of the pose identifier of the target goods rack; in response to the difference between the current pose of the target goods rack and a preset pose being greater than a preset deviation threshold value, determining that the target goods rack has shifted; in response to it being determined that the target goods rack has shifted, generating a transport path on the basis of the difference between the current pose of the target goods rack and the preset pose; and sending the transport path to a movable robot, such that the movable robot adjusts the current pose of the target goods rack according to the transport path, so that same is consistent with the preset pose. The pose of a goods rack can be automatically detected and corrected.