Warehouse Robot Pose Recognition for Mixed Container Pickup
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Solution Overview
Problem
Existing intelligent warehouse systems can only automatically pick up standard containers with consistent dimensions, limiting their application range and efficiency due to the need for standardized containers, which increases costs and processing steps.
Innovation Solution
A warehouse robot control method and apparatus that uses pose position recognition algorithms to identify and pick up different types of containers based on their type, including smooth, concave and convex, and identifier-pattern-on-surface types, allowing for automatic handling of various sizes, materials, and shapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the warehouse system uses standard containers with consistent dimensions, then the automation and efficiency of pickup and storage are improved, but the application range is limited and additional costs are incurred for standardized containers
Solution Approach 1:
The system dynamically adapts its pose recognition algorithm based on the detected container type. Different recognition algorithms are selected and applied according to the specific container characteristics (smooth surface, concave-convex surface, or identifier pattern), enabling the system to handle diverse container types while maintaining high automation efficiency
Solution Approach 2:
The system changes the parameters of the recognition algorithm according to the container type. By detecting surface features and adjusting the recognition approach (point cloud registration for smooth surfaces, geometric feature extraction for concave-convex surfaces, identifier recognition for patterned surfaces), the system achieves both high efficiency and broad adaptability
2Extent of automation
If the warehouse system uses standard containers with consistent dimensions, then the automation of pickup and storage is improved, but additional processing steps and costs are incurred
Solution Approach 1:
The system performs preliminary detection of container surface features before pickup. By classifying the container type in advance (smooth, concave-convex, or identifier pattern) and pre-selecting the appropriate recognition algorithm, the system streamlines the processing steps and maintains high automation without requiring manual intervention for container standardization
Solution Approach 2:
The system creates a digital model (point cloud) of the container surface and compares it with pre-stored reference models. This copying and comparison approach allows automatic identification of container types and their poses, reducing processing complexity while maintaining high automation levels
Data Source
AI summary
An embodiment of the disclosure provides a warehouse robot control method and apparatus, a robot, and a warehouse system. The method includes: obtaining a container scheduling instruction of a first target container, where the container scheduling instruction includes a container type of the first target container; determining a container pose recognition algorithm according to the container type of the first target container, and recognizing pose information of the first target container based on the container pose recognition algorithm; and controlling the warehouse robot to pick up the first target container according to the pose information. For different types of containers, using corresponding pose recognition algorithms to determine pose information thereof and automatically picking up different types of the containers based on the pose information improve application range and efficiency of automatic pickup of the warehouse robot.