Dual-Camera End Effector Calibration for Fast 6D Positioning
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Solution Overview
Problem
Conventional end effector calibration methods for robotic systems are slow and cumbersome, requiring multiple passes through an infrared beam to accurately determine the position and orientation of the end effector, which hinders efficient calibration and precise robotic operations.
Innovation Solution
An end effector calibration system utilizing two camera assemblies with intersecting image capture paths, where an electronic controller processes image data from both cameras to quickly and accurately calibrate the position of the robot end effector, recognizing the tool type and assessing wear or assembly issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional infrared beam calibration methods are used, then the position of the end effector can be determined, but the calibration process becomes slow and cumbersome requiring several passes
Solution Approach 1:
The patent replaces the mechanical infrared beam breaking method with an optical vision-based system using cameras to detect the end effector position. The camera system captures images of the end effector, and the controller processes these images to determine position and orientation, eliminating the need for multiple physical passes through an infrared beam while maintaining measurement precision.
Solution Approach 2:
The patent uses visual copying by capturing optical images of the end effector with cameras. Instead of physically interacting with the end effector through infrared beams, the system creates optical copies (images) of the end effector and processes these copies to determine its position and orientation, significantly reducing calibration time while maintaining accuracy.
2Reliability
If multiple passes through infrared beam are required for calibration, then position accuracy can be achieved, but the process becomes cumbersome and inefficient
Solution Approach 1:
The patent replaces the complex mechanical process of multiple infrared beam passes with a simplified optical vision system. The camera-based system captures the end effector position in a single operation, and the controller automatically processes the visual data to achieve reliable calibration, making the process much easier to operate while maintaining accuracy.
Solution Approach 2:
The calibration system performs self-service by automatically capturing images of the end effector and processing the visual data to determine position and orientation without requiring manual intervention for multiple passes. The electronic controller automatically completes the calibration process based on the captured images, simplifying operation while ensuring reliable results.
3Device complexity
If a single camera system is used for calibration, then the device complexity is reduced, but the measurement precision and speed are insufficient for six-dimensional tip calibration
Solution Approach 1:
The patent merges two camera systems to achieve six-dimensional tip calibration capability. By combining the data from two cameras with intersecting image capture paths, the system can determine both position and orientation of the end effector tip in three-dimensional space, achieving the required measurement precision without excessive complexity.
Solution Approach 2:
The patent adds another dimension by using two cameras instead of one, creating intersecting image capture paths that enable six-dimensional measurement. This dimensional enhancement allows the system to accurately determine both position and orientation of the end effector tip, achieving the required calibration precision for complex robotic operations.
Data Source
AI summary
An end effector calibration assembly includes an electronic controller, a first camera assembly communicatively coupled to the electronic controller, and a second camera assembly communicatively coupled to the electronic controller. A first image capture path of the first camera assembly intersects a second image capture path of the second camera assembly. The electronic controller receives image data from the first camera assembly, receives image data from the second camera assembly, and calibrates a position of the robot end effector based on the image data received from the first camera assembly and the second camera assembly.


