Robot Camera Calibration Refresh Using In-View Pattern Capture
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Solution Overview
Problem
Existing camera calibration methods for robot control systems become outdated over time due to changes in camera properties or environmental relationships, leading to errors in robot operations.
Innovation Solution
A robot control system that performs periodic updates of camera calibration by capturing recent calibration images, adding them to a captured image set, and performing subsequent camera calibrations to generate updated camera calibration information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera calibration is performed manually, then calibration information can be obtained, but the calibration becomes outdated over time due to changes in camera properties or environmental relationships
Solution Approach 1:
The system performs periodic camera calibration updates by capturing calibration images at multiple locations within the camera field of view and recalculating calibration information at scheduled intervals, ensuring calibration data remains current and reliable over time
Solution Approach 2:
The system captures calibration images, performs calibration calculations, compares new calibration information with existing calibration data, and automatically updates calibration parameters when deviations exceed thresholds, creating a closed-loop feedback mechanism that maintains calibration accuracy
2Measurement precision
If periodic calibration updates are performed, then calibration accuracy is maintained, but system complexity increases due to additional calibration image capture and processing
Solution Approach 1:
The robot arm automatically positions itself to capture calibration images and performs calibration updates without manual intervention, using its own movement capabilities to service the calibration process
Solution Approach 2:
The robot arm serves dual purposes: performing robot operations and capturing calibration images by positioning the calibration pattern, eliminating the need for separate calibration equipment or manual operation
3Measurement precision
If calibration images are captured at multiple locations, then calibration information quality improves, but time required for calibration process increases
Solution Approach 1:
The system captures calibration images at multiple predetermined locations within the camera field of view during initial setup, establishing a comprehensive calibration dataset that improves accuracy without requiring continuous multi-location captures
Solution Approach 2:
The system performs calibration image capture at multiple locations periodically rather than continuously, balancing the need for accurate calibration data with time efficiency by updating calibration information at scheduled intervals
Data Source
AI summary
A robot control system and a method for updating camera calibration is presented. The method comprises the robot control system performing a first camera calibration to determine camera calibration information, and outputting a first movement command based on the camera calibration information for a robot operation. The method further comprises outputting, after the first camera calibration, a second movement command to move a calibration pattern within a camera field of view, receiving one or more calibration images, and adding the one or more calibration images to a captured image set. The method further comprises performing a second camera calibration based on calibration images in the captured image set to determine updated camera calibration information, determining whether a deviation between the camera calibration information and the updated camera calibration information exceeds a defined threshold, and outputting a notification signal if the deviation exceeds the defined threshold.