Medical Robotic Arm Calibration Using Sensor-Guided Alignment
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Solution Overview
Problem
Existing calibration methods for motorized medical support structures in robotic systems require manual intervention, which can be inefficient and cumbersome, especially in medical environments where precision and automation are crucial.
Innovation Solution
A computer-implemented method for automatically calibrating motorized medical support structures, such as robotic arms, by acquiring presence data, determining pre-positioning and calibration target data, and using sensors to guide the calibration section to the target without manual interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used to bring devices into alignment with reference structures during calibration, then the calibration can be performed with existing simple systems, but the process becomes inefficient and cumbersome
Solution Approach 1:
The calibration system performs self-calibration by automatically determining its own calibration parameters using sensors and processors without requiring manual intervention. The system acquires presence data, determines pre-positioning data, and calculates calibration parameters autonomously, making the calibration process self-service and significantly improving efficiency
Solution Approach 2:
The patent replaces manual mechanical alignment operations with an automated computational system. Sensors detect spatial positions, processors calculate calibration parameters, and the system automatically determines pre-positioning and calibration target data, substituting mechanical manual operations with electronic and computational processes
2Measurement precision
If automated calibration is implemented using sensors and processors to determine spatial positions and calibration parameters, then calibration efficiency and precision are improved, but the device complexity increases
Solution Approach 1:
The calibration system uses multi-functional sensors and processors that serve multiple purposes: detecting presence data, determining pre-positioning data, calculating calibration target data, and verifying calibration results. This universal approach allows a single integrated system to perform multiple calibration functions, improving measurement precision while managing complexity through functional integration
Solution Approach 2:
The patent introduces computational algorithms and processing intermediaries that bridge the gap between raw sensor data and calibration parameters. The processor acts as an intermediary that transforms complex sensor measurements into simplified calibration data, enabling high precision measurements while managing system complexity through computational mediation
3Extent of automation
If the support structure automatically moves to reach the calibration target using determined pre-positioning and calibration target data, then the calibration process becomes fully automated, but the control system complexity increases
Solution Approach 1:
The system performs preliminary calculations of pre-positioning data and calibration target data before the actual calibration operation. The processor determines expected spatial positions and necessary positional corrections in advance, allowing the support structure to automatically execute pre-planned movement sequences, achieving full automation while managing control complexity through advance computation
Data Source
AI summary
The present disclosure relates to an approach for calibrating a motorized medical support structure such as a medical robotic arm with respect to medical appliances and devices, wherein the support structure acts automatically so as to reach a calibration feature of a medical device it is to be calibrated with.