Medical Arm Control With Real-Time Simulation Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing medical arm control systems struggle with autonomously adapting to the variability of body internal environments during surgery, as each patient's internal environment is unique, making pre-learned operations insufficient for real-time autonomous operation.
Innovation Solution
A medical arm control system that generates autonomous operation control information in real-time using external input, performs simulation, and corrects the control information based on the simulation results, incorporating a learning model for reference operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous operation control information is generated based on pre-learned data, then the medical arm can perform autonomous operations, but it cannot adapt to unknown body internal environments that differ from pre-learned cases
Solution Approach 1:
The system performs simulation operations using the generated autonomous control information, compares simulation results with expected outcomes, and iteratively corrects the control information. This feedback loop enables the system to adapt to unknown body internal environments by continuously refining its control strategies based on simulation outcomes, resolving the contradiction between autonomous operation and adaptability to unseen environments.
Solution Approach 2:
The system performs simulation operations before actual medical procedures to pre-test and correct autonomous control information. By conducting preliminary simulation actions, the system can identify and correct potential issues in control strategies before they are applied to real patients, enabling better adaptation to unknown environments while maintaining autonomous operation capability.
2Adaptability or versatility
If simulation operations are performed to correct control information, then adaptability to varying environments improves, but processing time and system complexity increase
Solution Approach 1:
The system performs simulation operations periodically or at scheduled intervals rather than continuously, correcting autonomous control information at discrete time points. This periodic approach maintains environmental adaptability while reducing overall processing time compared to continuous simulation, as the system can operate with corrected control information between simulation cycles.
3Manufacturing precision
If simulation operations are performed to correct control information, then operational precision improves, but system complexity and computational resources increase
Solution Approach 1:
The system creates virtual copies or models of the medical arm and body internal environments for simulation purposes. By working with digital replicas rather than physical systems, the system can perform complex simulation operations to improve operational precision without proportionally increasing physical device complexity. The virtual models allow extensive testing and correction without adding physical complexity to the actual medical arm hardware.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A medical arm control system circuitry configured to generate autonomous operation control information to autonomously operate a medical arm based on external input information; simulate an operation perfomred using the medical arm; and correct the autonomous operation control information in real time based on a result of the simulation of the operation of the medical arm.