XR Registration Transform Update via Operator Pose Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for determining a registration between extended reality (XR) systems and computer-assisted devices, such as robotic telesurgical devices, are less accurate, leading to incorrect positioning and orientation of XR content relative to the devices.
Innovation Solution
A system that includes a control module to determine pose information of an operator and a device portion during interactions, update a registration transform between an XR system and a computer-assisted device based on this information, and render images using the updated transform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to determine registration between XR systems and computer-assisted devices, then the system complexity is reduced, but the measurement precision of XR content positioning and orientation deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system captures images of the computer-assisted device, compares them with stored reference images, and automatically updates the registration transform based on the discrepancies. This iterative feedback loop continuously improves positioning and orientation accuracy without requiring complex manual intervention.
Solution Approach 2:
The system performs self-calibration by automatically detecting its own positioning errors through image capture and comparison, then correcting them through registration transform updates. This self-service approach eliminates the need for external calibration equipment or manual adjustment procedures.
2Manufacturing precision
If manual registration methods are used, then the ease of operation is improved, but the manufacturing precision of XR content alignment deteriorates
Solution Approach 1:
The system automatically performs registration calibration by capturing images, comparing them with reference images, and updating the registration transform without requiring manual intervention. This self-service mechanism achieves high alignment precision while maintaining ease of operation through automated execution.
Solution Approach 2:
The patent replaces manual mechanical adjustment methods with an automated image-processing system that uses computational algorithms to determine and correct registration errors, thereby achieving higher precision without increasing operational complexity.
3Measurement precision
If the registration transform is updated dynamically during operator interactions, then the measurement precision of pose information improves, but the use of energy increases
Solution Approach 1:
The system performs registration updates periodically based on detected operator interactions rather than continuously. This periodic action maintains pose information accuracy during relevant moments while minimizing energy consumption during idle periods.
Solution Approach 2:
The system automatically detects when operator interactions occur and triggers registration updates only when necessary, rather than continuously monitoring and processing. This event-driven self-service approach optimizes the balance between maintaining precision and reducing energy consumption.
Data Source
AI summary
Techniques for updating the registration of an extended reality (XR) system with a computer-assisted device include the following. A control system communicably coupled to the computer-assisted device and to a sensor system is configured to: determine. based on sensor data. pose information of an operator portion of an operator during one or more interactions between the operator portion and a device portion of the computer-assisted device. determine pose information of the device portion during the one or more interactions. update a registration transform between the XR system and the computer-assisted device based on the pose information of the operator portion and the pose information of the device portion, and cause the XR system to render an image viewable by the operator using the updated registration transform.