Virtual Robot Work Cell Position Sync Without Manual Measurement
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Solution Overview
Problem
Existing methods for synchronizing the positions of components in a real robot work cell with its digital replica are inefficient and inaccurate, often requiring manual measurements that are difficult to perform and prone to errors.
Innovation Solution
A method for adjusting a virtual relative position in a virtual robot work cell by obtaining the relative position between a robot and an object carrier from a physical controller and automatically updating the virtual positions of corresponding components, thereby eliminating the need for manual measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurements are used to synchronize positions between physical and virtual robot work cells, then the synchronization can be performed, but the efficiency and accuracy are reduced
Solution Approach 1:
The patent replaces manual mechanical measurement methods with automated optical/image processing techniques. The image processing system automatically captures images of the work cell, identifies component positions, and calculates coordinates without manual intervention, thereby improving both accuracy and efficiency of position synchronization between physical and virtual work cells
Solution Approach 2:
The system enables self-service by allowing the virtual work cell to automatically update its component positions based on image processing results. The position synchronization is performed autonomously through automated image capture, processing, and coordinate calculation, eliminating the need for manual measurements and updates
2Reliability
If manual measurements are used for position synchronization, then the process can be completed, but the process becomes difficult to perform and prone to errors
Solution Approach 1:
The patent replaces difficult manual measurement operations with automated image processing. The system captures images using cameras or other imaging devices, automatically processes these images to identify component positions, and calculates coordinates without requiring manual measurement, thereby improving ease of operation and reducing errors
Solution Approach 2:
The patent introduces an intermediary image processing system that mediates between the physical work cell and the virtual work cell. Instead of direct manual measurement, the system uses captured images as an intermediary to automatically determine component positions and update the virtual model, making the process easier and more reliable
Data Source
AI summary
A fixture and a method for transferring a bundled cardboard. The fixture for transferring a bundled cardboard includes a frame extending substantially in a first direction and having an upper side and a lower side. The fixture also has a first gripper attached to the frame at a first place adjacent to the upper side and having a gripping plate extending in a second direction perpendicular to the first direction. The gripping plate includes a gripping surface adapted to engage with a first surface of the bundled cardboard. The fixture also includes a second gripper attached to the frame at a second place adjacent to the lower side and having at least one clamping arm.